7950x3d AMD Ryzen 9 7950X3D 16-Core testing with a ASRockRack B650D4U-2L2T/BCM (2.09 BIOS) and ASPEED 512MB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads), Motherboard: ASRockRack B650D4U-2L2T/BCM (2.09 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-4800MT/s MTC20C2085S1EC48BA1, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS + 0GB Virtual HDisk0 + 0GB Virtual HDisk1 + 0GB Virtual HDisk2 + 0GB Virtual HDisk3, Graphics: ASPEED 512MB, Audio: AMD Device 1640, Monitor: VA2431, Network: 2 x Intel I210 + 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA OS: Ubuntu 22.04, Kernel: 6.6.0-rc4-phx-amd-pref-core (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads), Motherboard: ASRockRack B650D4U-2L2T/BCM (2.09 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-4800MT/s MTC20C2085S1EC48BA1, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS + 0GB Virtual HDisk0 + 0GB Virtual HDisk1 + 0GB Virtual HDisk2 + 0GB Virtual HDisk3, Graphics: ASPEED 512MB, Audio: AMD Device 1640, Monitor: VA2431, Network: 2 x Intel I210 + 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA OS: Ubuntu 22.04, Kernel: 6.6.0-rc4-phx-amd-pref-core (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads), Motherboard: ASRockRack B650D4U-2L2T/BCM (2.09 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-4800MT/s MTC20C2085S1EC48BA1, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS + 0GB Virtual HDisk0 + 0GB Virtual HDisk1 + 0GB Virtual HDisk2 + 0GB Virtual HDisk3, Graphics: ASPEED 512MB, Audio: AMD Device 1640, Monitor: VA2431, Network: 2 x Intel I210 + 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA OS: Ubuntu 22.04, Kernel: 6.6.0-rc4-phx-amd-pref-core (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 d: Processor: AMD Ryzen 9 7950X3D 16-Core @ 5.76GHz (16 Cores / 32 Threads), Motherboard: ASRockRack B650D4U-2L2T/BCM (2.09 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-4800MT/s MTC20C2085S1EC48BA1, Disk: 3201GB Micron_7450_MTFDKCC3T2TFS + 0GB Virtual HDisk0 + 0GB Virtual HDisk1 + 0GB Virtual HDisk2 + 0GB Virtual HDisk3, Graphics: ASPEED 512MB, Audio: AMD Device 1640, Monitor: VA2431, Network: 2 x Intel I210 + 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA OS: Ubuntu 22.04, Kernel: 6.6.0-rc4-phx-amd-pref-core (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1200 QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 82133.5 |================================================================== b . 82020.0 |================================================================== c . 81958.0 |================================================================== d . 82159.4 |================================================================== QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 3980.3 |================================================================== b . 4042.6 |=================================================================== c . 4025.4 |=================================================================== d . 4033.0 |=================================================================== CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 31.84 |==================================================================== b . 31.79 |=================================================================== c . 32.02 |==================================================================== d . 32.06 |==================================================================== CloverLeaf 1.3 Input: clover_bm16 Seconds < Lower Is Better a . 1496.78 |================================================================== b . 1495.65 |================================================================== c . 1494.53 |================================================================== d . 1496.30 |================================================================== CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 175.91 |=================================================================== b . 175.92 |=================================================================== c . 175.92 |=================================================================== d . 175.86 |=================================================================== QMCPACK 3.17.1 Input: H4_ae Total Execution Time - Seconds < Lower Is Better a . 12.16 |================================================================= b . 12.51 |=================================================================== c . 12.63 |==================================================================== d . 12.62 |==================================================================== QMCPACK 3.17.1 Input: Li2_STO_ae Total Execution Time - Seconds < Lower Is Better a . 135.60 |=================================================================== b . 135.95 |=================================================================== c . 135.60 |=================================================================== d . 135.02 |=================================================================== QMCPACK 3.17.1 Input: LiH_ae_MSD Total Execution Time - Seconds < Lower Is Better a . 73.47 |=================================================================== b . 74.10 |==================================================================== c . 73.60 |==================================================================== d . 73.49 |=================================================================== QMCPACK 3.17.1 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better a . 18.24 |=================================================================== b . 18.43 |==================================================================== c . 18.39 |==================================================================== d . 18.30 |==================================================================== QMCPACK 3.17.1 Input: O_ae_pyscf_UHF Total Execution Time - Seconds < Lower Is Better a . 132.77 |=================================================================== b . 131.36 |================================================================== c . 129.98 |================================================================== d . 129.65 |================================================================= QMCPACK 3.17.1 Input: FeCO6_b3lyp_gms Total Execution Time - Seconds < Lower Is Better a . 125.46 |=================================================================== b . 125.49 |=================================================================== c . 124.98 |=================================================================== d . 125.13 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 282.96 |=================================================================== b . 282.92 |=================================================================== c . 284.24 |=================================================================== d . 276.55 |================================================================= FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 179.55 |=================================================================== b . 180.06 |=================================================================== c . 180.02 |=================================================================== d . 179.29 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 16.90 |==================================================================== b . 16.67 |=================================================================== c . 16.81 |==================================================================== d . 16.64 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 33.54 |==================================================================== b . 33.53 |==================================================================== c . 33.46 |==================================================================== d . 33.57 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 63.98 |==================================================================== b . 63.85 |==================================================================== c . 63.69 |==================================================================== d . 63.75 |==================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 68.39 |==================================================================== b . 68.36 |==================================================================== c . 68.29 |==================================================================== d . 68.63 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 64.16 |==================================================================== b . 63.78 |=================================================================== c . 64.14 |==================================================================== d . 64.26 |==================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 68.48 |==================================================================== b . 68.57 |==================================================================== c . 68.14 |=================================================================== d . 68.71 |==================================================================== DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better a . 4258 |===================================================================== b . 4147 |=================================================================== c . 4081 |================================================================== d . 4136 |=================================================================== DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better a . 7923 |===================================================================== b . 7872 |===================================================================== c . 7747 |=================================================================== d . 7773 |==================================================================== DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better a . 2328 |=================================================================== b . 2383 |==================================================================== c . 2411 |===================================================================== d . 2387 |==================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better a . 2808 |===================================================================== b . 2714 |=================================================================== c . 2699 |================================================================== d . 2778 |==================================================================== DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better a . 3912 |===================================================================== b . 3865 |==================================================================== c . 3824 |=================================================================== d . 3920 |===================================================================== DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better a . 1523 |=============================================================== b . 1660 |===================================================================== c . 1622 |=================================================================== d . 1657 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better a . 5095 |===================================================================== b . 5091 |===================================================================== c . 5098 |===================================================================== d . 5094 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better a . 3432 |===================================================================== b . 3424 |===================================================================== c . 3438 |===================================================================== d . 3437 |===================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better a . 6812 |===================================================================== b . 6815 |===================================================================== c . 6811 |===================================================================== d . 6815 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better a . 5480 |==================================================================== b . 5548 |===================================================================== c . 5554 |===================================================================== d . 5570 |===================================================================== DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better a . 526 |====================================================================== b . 522 |===================================================================== c . 528 |====================================================================== d . 524 |===================================================================== DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better a . 1104 |===================================================================== b . 1092 |==================================================================== c . 1086 |==================================================================== d . 1101 |===================================================================== DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better a . 1855 |===================================================================== b . 1853 |===================================================================== c . 1840 |==================================================================== d . 1859 |===================================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better a . 414 |================================================================ b . 417 |================================================================ c . 455 |====================================================================== d . 430 |================================================================== DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better a . 1244 |===================================================================== b . 1176 |================================================================= c . 1207 |=================================================================== d . 1186 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better a . 2842 |===================================================================== b . 2798 |==================================================================== c . 2689 |================================================================= d . 2683 |================================================================= DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better a . 1331 |===================================================================== b . 1320 |==================================================================== c . 1295 |=================================================================== d . 1301 |=================================================================== DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better a . 2548 |============================================================== b . 2801 |==================================================================== c . 2838 |===================================================================== d . 2537 |============================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better a . 4946 |===================================================================== b . 4935 |===================================================================== c . 4794 |=================================================================== d . 4930 |===================================================================== DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better a . 612 |====================================================================== b . 616 |====================================================================== c . 606 |===================================================================== d . 611 |===================================================================== DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better a . 2592 |================================================================== b . 2595 |================================================================== c . 2591 |================================================================== d . 2709 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 13.51 |=================================================================== b . 13.05 |================================================================= c . 13.38 |================================================================== d . 13.71 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.31 |=================================================================== b . 0.31 |=================================================================== c . 0.32 |===================================================================== d . 0.31 |=================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== c . 0.15 |===================================================================== d . 0.15 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 8.73 |===================================================================== b . 8.73 |===================================================================== c . 8.72 |===================================================================== d . 8.75 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.03 |===================================================================== b . 0.03 |===================================================================== c . 0.03 |===================================================================== d . 0.03 |===================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 2.148 |==================================================================== b . 2.089 |================================================================== c . 2.101 |=================================================================== d . 2.090 |================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 81.63 |==================================================================== b . 81.03 |==================================================================== c . 80.87 |=================================================================== d . 80.10 |=================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 30.50 |==================================================================== b . 30.45 |==================================================================== c . 30.39 |==================================================================== d . 30.51 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 31.92 |==================================================================== b . 31.97 |==================================================================== c . 31.70 |=================================================================== d . 31.85 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 30.93 |==================================================================== b . 30.89 |==================================================================== c . 30.83 |==================================================================== d . 30.83 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 27.58 |==================================================================== b . 27.52 |==================================================================== c . 27.54 |==================================================================== d . 27.53 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 33.78 |==================================================================== b . 33.73 |==================================================================== c . 33.65 |==================================================================== d . 33.72 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 28.61 |==================================================================== b . 28.71 |==================================================================== c . 28.64 |==================================================================== d . 28.70 |==================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.81 |===================================================================== b . 0.81 |===================================================================== c . 0.81 |===================================================================== d . 0.81 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.81 |===================================================================== b . 0.81 |===================================================================== c . 0.81 |===================================================================== d . 0.81 |===================================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.39 |===================================================================== b . 0.39 |===================================================================== c . 0.39 |===================================================================== d . 0.39 |===================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 603 |====================================================================== b . 603 |====================================================================== c . 604 |====================================================================== d . 603 |====================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 242 |====================================================================== b . 242 |====================================================================== c . 242 |====================================================================== d . 241 |====================================================================== Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better a . 21.91 |==================================================================== b . 21.90 |==================================================================== c . 21.92 |==================================================================== d . 22.01 |==================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 284.15 |================================================================== b . 283.22 |================================================================== c . 284.04 |================================================================== d . 288.16 |=================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1.89379 |================================================================ b . 1.94087 |================================================================== c . 1.92566 |================================================================= d . 1.93518 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.80183 |================================================================== b . 2.81737 |================================================================== c . 2.80377 |================================================================== d . 2.81873 |================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.523659 |================================================================ b . 0.498741 |============================================================= c . 0.534576 |================================================================= d . 0.520575 |=============================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.262956 |============================================================= b . 0.279128 |================================================================= c . 0.248788 |========================================================== d . 0.256962 |============================================================ oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 0.694296 |================================================================= b . 0.693123 |================================================================= c . 0.695339 |================================================================= d . 0.695171 |================================================================= oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.23712 |================================================================== b . 1.18558 |=============================================================== c . 1.18372 |=============================================================== d . 1.17668 |=============================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.01781 |================================================================== b . 4.03418 |================================================================== c . 4.01114 |================================================================= d . 4.04319 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.98536 |================================================================= b . 3.01099 |================================================================== c . 3.00906 |================================================================== d . 2.98785 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.59896 |================================================================== b . 2.59838 |================================================================== c . 2.59835 |================================================================== d . 2.59886 |================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 3.76779 |================================================================== b . 3.71650 |================================================================= c . 3.72781 |================================================================= d . 3.76192 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.455531 |================================================================= b . 0.456347 |================================================================= c . 0.456250 |================================================================= d . 0.455553 |================================================================= oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.647550 |================================================================= b . 0.646866 |================================================================= c . 0.646223 |================================================================= d . 0.645231 |================================================================= oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1227.58 |================================================================== b . 1229.80 |================================================================== c . 1234.14 |================================================================== d . 1224.00 |================================================================= oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 620.71 |================================================================= b . 636.50 |=================================================================== c . 632.39 |=================================================================== d . 625.50 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1231.93 |================================================================== b . 1236.68 |================================================================== c . 1236.28 |================================================================== d . 1224.11 |================================================================= oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.09425 |================================================================== b . 1.09760 |================================================================== c . 1.09942 |================================================================== d . 1.09782 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2.34329 |================================================================== b . 2.34125 |================================================================== c . 2.33922 |================================================================== d . 2.34110 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1.48385 |================================================================== b . 1.48496 |================================================================== c . 1.48752 |================================================================== d . 1.48153 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 633.91 |=================================================================== b . 635.30 |=================================================================== c . 624.14 |================================================================== d . 634.66 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1236.29 |================================================================== b . 1231.68 |================================================================== c . 1228.25 |================================================================== d . 1234.57 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 632.07 |=================================================================== b . 633.61 |=================================================================== c . 628.31 |================================================================== d . 635.31 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4251 |===================================================================== b . 4267 |===================================================================== c . 4239 |===================================================================== d . 4251 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 4303 |===================================================================== b . 4323 |===================================================================== c . 4316 |===================================================================== d . 4297 |===================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 5025 |===================================================================== b . 5027 |===================================================================== c . 5035 |===================================================================== d . 5042 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 71605 |=================================================================== b . 72346 |==================================================================== c . 72590 |==================================================================== d . 71802 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 139956 |=================================================================== b . 140342 |=================================================================== c . 140119 |=================================================================== d . 139631 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 73112 |==================================================================== b . 72815 |==================================================================== c . 72888 |==================================================================== d . 72762 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 141550 |=================================================================== b . 141773 |=================================================================== c . 141698 |=================================================================== d . 141360 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 84397 |==================================================================== b . 84660 |==================================================================== c . 84786 |==================================================================== d . 84573 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 165253 |=================================================================== b . 165034 |=================================================================== c . 164625 |=================================================================== d . 164645 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1069 |===================================================================== b . 1069 |===================================================================== c . 1069 |===================================================================== d . 1068 |===================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1083 |===================================================================== b . 1083 |===================================================================== c . 1083 |===================================================================== d . 1085 |===================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1267 |===================================================================== b . 1266 |===================================================================== c . 1265 |===================================================================== d . 1264 |===================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 17116 |==================================================================== b . 17116 |==================================================================== c . 17097 |==================================================================== d . 17075 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 38499 |==================================================================== b . 38279 |==================================================================== c . 38448 |==================================================================== d . 38512 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 17266 |==================================================================== b . 17316 |==================================================================== c . 17235 |==================================================================== d . 17289 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 38852 |==================================================================== b . 38740 |=================================================================== c . 38798 |==================================================================== d . 39062 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 20148 |==================================================================== b . 20226 |==================================================================== c . 20186 |==================================================================== d . 20139 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 44670 |==================================================================== b . 44437 |==================================================================== c . 44682 |==================================================================== d . 44177 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 640.30 |=================================================================== b . 635.66 |=================================================================== c . 636.52 |=================================================================== d . 635.79 |=================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 304.46 |=================================================================== b . 304.62 |=================================================================== c . 305.22 |=================================================================== d . 305.36 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 7978.24 |================================================================== b . 7965.21 |================================================================== c . 7982.94 |================================================================== d . 7973.87 |================================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 3455.06 |================================================================== b . 3355.73 |================================================================ c . 3367.45 |================================================================ d . 3350.86 |================================================================ Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 134660 |=================================================================== b . 134177 |================================================================== c . 134800 |=================================================================== d . 135200 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 1796.71 |================================================================ b . 1783.76 |================================================================ c . 1783.94 |================================================================ d . 1844.59 |================================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 34440 |==================================================================== b . 34440 |==================================================================== c . 34430 |==================================================================== d . 34470 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 11440 |==================================================================== b . 11490 |==================================================================== c . 11400 |=================================================================== d . 11390 |=================================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 15850 |==================================================================== b . 15783 |==================================================================== c . 15790 |==================================================================== d . 15780 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 62080 |==================================================================== b . 62127 |==================================================================== c . 62080 |==================================================================== d . 62050 |==================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 105880 |=================================================================== b . 105897 |=================================================================== c . 105890 |=================================================================== d . 105860 |=================================================================== OpenSSL Algorithm: SHA256 byte/s > Higher Is Better a . 32631708710 |============================================================= b . 32907394910 |============================================================== c . 32833153190 |============================================================== d . 32930127410 |============================================================== OpenSSL Algorithm: SHA512 byte/s > Higher Is Better a . 10638469960 |============================================================== b . 10635835530 |============================================================== c . 10649075500 |============================================================== d . 10639231370 |============================================================== OpenSSL Algorithm: RSA4096 sign/s > Higher Is Better a . 5501.2 |=================================================================== b . 5508.4 |=================================================================== c . 5468.4 |=================================================================== d . 5500.8 |=================================================================== OpenSSL Algorithm: RSA4096 verify/s > Higher Is Better a . 358677.5 |================================================================= b . 359044.2 |================================================================= c . 358701.3 |================================================================= d . 358447.1 |================================================================= OpenSSL Algorithm: ChaCha20 byte/s > Higher Is Better a . 125488652010 |============================================================= b . 125127430960 |============================================================= c . 125338580040 |============================================================= d . 125277063850 |============================================================= OpenSSL Algorithm: AES-128-GCM byte/s > Higher Is Better a . 98960081440 |============================================================== b . 98958335180 |============================================================== c . 98987719340 |============================================================== d . 99011030490 |============================================================== OpenSSL Algorithm: AES-256-GCM byte/s > Higher Is Better a . 92480786980 |============================================================== b . 92512692630 |============================================================== c . 92479315690 |============================================================== d . 92479134650 |============================================================== OpenSSL Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better a . 89461502230 |============================================================== b . 89582688390 |============================================================== c . 89478928250 |============================================================== d . 89488403930 |============================================================== RabbitMQ 3.12.7 Scenario: Simple 2 Publishers + 4 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 10 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 60 Queues, 100 Producers, 100 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 120 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better RabbitMQ 3.12.7 Scenario: 200 Queues, 400 Producers, 400 Consumers Messages/s > Higher Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 69.41 |=================================================================== b . 70.39 |==================================================================== c . 69.05 |=================================================================== d . 68.99 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 26.99 |================================================================== b . 26.73 |================================================================== c . 27.02 |================================================================== d . 27.63 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 45.70 |=================================================================== b . 46.73 |==================================================================== c . 45.94 |=================================================================== d . 45.16 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 44.97 |================================================================ b . 45.98 |================================================================== c . 45.91 |================================================================= d . 47.70 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 45.45 |================================================================== b . 47.01 |==================================================================== c . 46.10 |=================================================================== d . 45.43 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.13 |==================================================================== b . 18.02 |==================================================================== c . 18.03 |==================================================================== d . 18.02 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better a . 45.09 |================================================================= b . 46.29 |=================================================================== c . 46.16 |=================================================================== d . 47.06 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.04 |==================================================================== b . 18.06 |==================================================================== c . 18.05 |==================================================================== d . 18.14 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better a . 46.31 |=================================================================== b . 46.36 |=================================================================== c . 46.41 |=================================================================== d . 46.93 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 17.80 |=================================================================== b . 18.07 |==================================================================== c . 17.75 |================================================================== d . 18.19 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better a . 17.96 |=================================================================== b . 18.11 |==================================================================== c . 18.11 |==================================================================== d . 18.19 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.30 |==================================================================== b . 17.81 |================================================================== c . 18.16 |=================================================================== d . 17.95 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 14.20 |==================================================================== b . 14.12 |=================================================================== c . 14.01 |=================================================================== d . 14.25 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 10.62 |================================================================== b . 10.86 |=================================================================== c . 10.72 |================================================================== d . 10.97 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 10.81 |=================================================================== b . 10.89 |==================================================================== c . 10.87 |==================================================================== d . 10.92 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 10.86 |==================================================================== b . 10.93 |==================================================================== c . 10.82 |=================================================================== d . 10.90 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 10.84 |=================================================================== b . 10.93 |==================================================================== c . 10.88 |==================================================================== d . 10.79 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 10.93 |=================================================================== b . 11.04 |==================================================================== c . 10.85 |=================================================================== d . 10.94 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 13.41 |==================================================================== b . 13.38 |==================================================================== c . 13.33 |==================================================================== d . 13.39 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 595.55 |=================================================================== b . 595.36 |=================================================================== c . 597.20 |=================================================================== d . 594.98 |=================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 94.20 |=================================================================== b . 93.95 |=================================================================== c . 94.29 |=================================================================== d . 94.99 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 84.83 |==================================================================== b . 85.07 |==================================================================== c . 84.74 |==================================================================== d . 84.14 |=================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 94.05 |==================================================================== b . 94.66 |==================================================================== c . 93.76 |=================================================================== d . 94.28 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 84.99 |==================================================================== b . 84.43 |=================================================================== c . 85.27 |==================================================================== d . 84.74 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 1034.25 |================================================================== b . 1032.48 |================================================================== c . 1032.00 |================================================================== d . 1033.33 |================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 7.71 |===================================================================== b . 7.73 |===================================================================== c . 7.73 |===================================================================== d . 7.72 |===================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 25.52 |==================================================================== b . 25.56 |==================================================================== c . 25.56 |==================================================================== d . 25.50 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 313.05 |=================================================================== b . 312.53 |=================================================================== c . 312.48 |=================================================================== d . 313.25 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 3070.77 |================================================================== b . 3063.55 |================================================================== c . 3067.52 |================================================================== d . 3069.35 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 2.49 |===================================================================== b . 2.50 |===================================================================== c . 2.50 |===================================================================== d . 2.49 |===================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 439.75 |=================================================================== b . 435.77 |================================================================== c . 437.76 |=================================================================== d . 434.98 |================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 18.16 |=================================================================== b . 18.32 |==================================================================== c . 18.24 |==================================================================== d . 18.36 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1613.22 |================================================================== b . 1617.79 |================================================================== c . 1617.82 |================================================================== d . 1619.16 |================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 4.92 |===================================================================== b . 4.91 |===================================================================== c . 4.90 |===================================================================== d . 4.90 |===================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 1353.91 |================================================================== b . 1352.89 |================================================================== c . 1353.62 |================================================================== d . 1351.17 |================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 11.79 |==================================================================== b . 11.80 |==================================================================== c . 11.79 |==================================================================== d . 11.81 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 4527.76 |================================================================== b . 4537.36 |================================================================== c . 4512.34 |================================================================== d . 4544.57 |================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 3.44 |===================================================================== b . 3.43 |===================================================================== c . 3.44 |===================================================================== d . 3.42 |===================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 524.58 |================================================================== b . 522.64 |================================================================== c . 532.94 |=================================================================== d . 521.46 |================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 15.23 |==================================================================== b . 15.28 |==================================================================== c . 14.99 |=================================================================== d . 15.32 |==================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 130.05 |================================================================== b . 130.95 |=================================================================== c . 130.06 |================================================================== d . 131.09 |=================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 61.38 |==================================================================== b . 60.98 |==================================================================== c . 61.38 |==================================================================== d . 60.94 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 2608.39 |================================================================== b . 2604.12 |================================================================== c . 2609.57 |================================================================== d . 2603.35 |================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 6.10 |===================================================================== b . 6.11 |===================================================================== c . 6.10 |===================================================================== d . 6.11 |===================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 1572.38 |================================================================= b . 1587.74 |================================================================== c . 1591.84 |================================================================== d . 1572.56 |================================================================= OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 5.06 |===================================================================== b . 5.02 |==================================================================== c . 5.00 |==================================================================== d . 5.06 |===================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 739.56 |=================================================================== b . 731.42 |================================================================== c . 733.81 |================================================================== d . 733.36 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 21.61 |=================================================================== b . 21.85 |==================================================================== c . 21.77 |==================================================================== d . 21.79 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 33511.79 |================================================================= b . 33483.53 |================================================================= c . 33482.54 |================================================================= d . 33491.83 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 0.43 |===================================================================== b . 0.43 |===================================================================== c . 0.43 |===================================================================== d . 0.43 |===================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 584.10 |=================================================================== b . 585.55 |=================================================================== c . 587.47 |=================================================================== d . 579.56 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 27.36 |=================================================================== b . 27.29 |=================================================================== c . 27.21 |=================================================================== d . 27.57 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 47376.59 |================================================================= b . 47316.17 |================================================================= c . 47255.36 |================================================================= d . 47453.43 |================================================================= OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 0.29 |=================================================================== b . 0.29 |=================================================================== c . 0.30 |===================================================================== d . 0.29 |===================================================================