sssf AMD Ryzen 7 4700U testing with a LENOVO IdeaPad 5 14ARE05 LNVNB161216 (DTCN18WWV1.04 BIOS) and AMD Renoir 512MB on Fedora Linux 39 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2404106-NE-SSSF4057672 .
sssf Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c AMD Ryzen 7 4700U @ 2.00GHz (8 Cores) LENOVO IdeaPad 5 14ARE05 LNVNB161216 (DTCN18WWV1.04 BIOS) AMD Renoir/Cezanne 2 x 8GB DDR4-3200MT/s Samsung M471A1G44AB0-CWE 512GB SAMSUNG MZALQ512HALU-000L2 AMD Renoir 512MB AMD Renoir Radeon HD Audio Intel Wi-Fi 6 AX200 Fedora Linux 39 6.5.7-300.fc39.x86_64 (x86_64) GNOME Shell 45.0 X Server + Wayland 4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54) GCC 13.2.1 20230918 btrfs 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,m2,lto --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-multilib --enable-offload-defaulted --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-build-config=bootstrap-lto --with-gcc-major-version-only --with-libstdcxx-zoneinfo=/usr/share/zoneinfo --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0x8600102 - ACPI Profile: balanced Python Details - Python 3.12.0 Security Details - SELinux + gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT disabled + spec_rstack_overflow: Mitigation of SMT disabled + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
sssf specfem3d: Mount St. Helens specfem3d: Layered Halfspace specfem3d: Tomographic Model specfem3d: Homogeneous Halfspace specfem3d: Water-layered Halfspace ffmpeg: libx264 - Live ffmpeg: libx265 - Live ffmpeg: libx264 - Upload ffmpeg: libx265 - Upload ffmpeg: libx264 - Platform ffmpeg: libx265 - Platform ffmpeg: libx264 - Video On Demand ffmpeg: libx265 - Video On Demand jpegxl: PNG - 80 jpegxl: PNG - 90 jpegxl: JPEG - 80 jpegxl: JPEG - 90 jpegxl: PNG - 100 jpegxl: JPEG - 100 jpegxl-decode: 1 jpegxl-decode: All srsran: PDSCH Processor Benchmark, Throughput Total srsran: PUSCH Processor Benchmark, Throughput Total srsran: PDSCH Processor Benchmark, Throughput Thread srsran: PUSCH Processor Benchmark, Throughput Thread graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p x265: Bosphorus 4K x265: Bosphorus 1080p stockfish: Chess Benchmark build-ffmpeg: Time To Compile build-linux-kernel: defconfig build-mesa: Time To Compile build-php: Time To Compile compress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compression primesieve: 1e12 primesieve: 1e13 onednn: IP Shapes 1D - CPU onednn: IP Shapes 3D - CPU onednn: Convolution Batch Shapes Auto - CPU onednn: Deconvolution Batch shapes_1d - CPU onednn: Deconvolution Batch shapes_3d - CPU onednn: Recurrent Neural Network Training - CPU onednn: Recurrent Neural Network Inference - CPU astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive astcenc: Very Thorough pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l tensorflow: CPU - 1 - AlexNet tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 1 - GoogLeNet tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 draco: Lion draco: Church Facade blender: BMW27 - CPU-Only blender: Junkshop - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Face Detection Retail FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Road Segmentation ADAS FP16 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Face Detection Retail FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Road Segmentation ADAS FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Noise Suppression Poconet-Like FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Handwritten English Recognition FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Person Re-Identification Retail FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Handwritten English Recognition FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU rocksdb: Overwrite rocksdb: Rand Read rocksdb: Update Rand rocksdb: Read While Writing rocksdb: Read Rand Write Rand encode-wavpack: WAV To WavPack brl-cad: VGR Performance Metric v-ray: CPU a b c 105.866882217 300.039407534 112.989570319 150.485004303 336.898362583 175.19 51.97 11.24 10.60 42.56 21.77 42.54 21.87 14.707 14.006 15.536 13.914 6.478 6.841 57.277 221.852 1947.5 656.1 472.4 111.9 68 131 24 21 139 33 209 2.21 14.329 34.13 34.126 7.106 47.826 183.045 219.891 7.79 36.1 5533248 130.236 259.938 72.003 127.015 15.432197 31.719 411.773 8.11905 15.9289 32.7838 8.12705 10.9677 5359.87 3026.7 87.9749 31.6593 3.5163 0.2888 0.4714 21.12 9.20 12.07 5.49 5.22 3.44 4.49 33.88 9.23 4.24 19 6.26 6118 9133 300.58 441.96 806.41 396.25 3268.88 1045.17 1.54 2574.13 13.24 301.78 13.34 299.34 92.95 42.99 2.06 1943.55 381.36 10.46 18.91 211.4 130.24 30.68 149.46 26.74 461.19 8.64 61.04 65.47 17.86 223.74 213.14 18.74 188.54 21.19 205.26 19.4 54.62 73.18 221.06 18.06 2601.61 1.51 57.6 69.38 5124.53 0.76 552729 20818470 323621 658357 769845 16.136 81913 6370 105.488589079 302.058029556 113.075662554 150.519138496 332.366901074 173.63 52.23 11.25 10.64 42.23 21.87 42.24 21.96 14.702 13.897 15.696 13.968 6.492 6.875 58.162 224.119 1907.6 656.3 482.9 111.9 68 134 25 21 140 33 212 2.217 14.827 40.185 39.985 7.073 48.692 186.173 230.193 7.76 37.43 5622274 130.077 258.859 72.555 125.72 14.952377 31.533 411.416 8.24092 15.9441 32.1374 8.04835 10.7616 5253.25 3021.36 88.2531 31.8558 3.5343 0.2891 0.4715 21.11 9.41 12.18 5.49 5.23 3.47 4.5 32.98 9.13 4.24 19.18 6.41 6071 9108 294.65 437.43 807.75 398.84 3274.13 1039.56 1.57 2546.92 13.23 301.71 13.28 300.92 92.28 43.3 2.06 1942.45 381.71 10.45 19.04 209.84 129.94 30.75 148.14 26.97 464.04 8.59 62.57 63.87 17.19 232.42 204.55 19.53 188.32 21.21 204.99 19.42 54.71 73.06 221.31 18.04 2665.57 1.47 59.5 67.18 5125.62 0.76 558575 20769467 325226 698869 772918 16.389 81825 6370 104.934853597 291.621666806 112.915171252 149.793734075 331.583361212 176.55 52.60 11.32 10.69 42.65 21.96 42.59 21.89 14.737 13.852 15.633 14.177 6.802 6.409 58.363 223.598 1910.4 656 483.3 111.9 68 133 23 21 139 33 213 2.216 14.74 39.19 39.948 7.164 49.125 183.615 225.406 7.7 36.95 5629735 130.418 259.535 72.318 125.356 14.6706 30.749 407.804 8.09509 15.9424 32.0707 7.88149 10.5386 5265.53 3027.51 88.2486 31.9247 3.5269 0.2893 0.4737 20.33 9.33 11.94 5.38 5.27 3.45 4.5 32.39 9.08 4.27 19.27 6.44 6043 9062 293.87 435.71 808.04 396.96 3250.72 1043.53 1.56 2556.28 13.34 299.83 13.35 299.04 92.95 42.99 2.06 1936.65 382.49 10.43 19.02 210.13 130.31 30.67 149.03 26.82 464.13 8.59 62.13 64.34 17.23 231.91 204.82 19.51 189.06 21.13 204.83 19.43 54.75 73.01 221.65 18.02 2631.67 1.49 57.66 69.32 5091.9 0.76 553291 20768941 324608 689750 772309 16.223 81286 6304 OpenBenchmarking.org
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Mount St. Helens a b c 20 40 60 80 100 105.87 105.49 104.93 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Layered Halfspace a b c 70 140 210 280 350 300.04 302.06 291.62 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Tomographic Model a b c 30 60 90 120 150 112.99 113.08 112.92 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Homogeneous Halfspace a b c 30 60 90 120 150 150.49 150.52 149.79 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.1.1 Model: Water-layered Halfspace a b c 70 140 210 280 350 336.90 332.37 331.58 1. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi
FFmpeg Encoder: libx264 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Live a b c 40 80 120 160 200 175.19 173.63 176.55 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Live a b c 12 24 36 48 60 51.97 52.23 52.60 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx264 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Upload a b c 3 6 9 12 15 11.24 11.25 11.32 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Upload a b c 3 6 9 12 15 10.60 10.64 10.69 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx264 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Platform a b c 10 20 30 40 50 42.56 42.23 42.65 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Platform a b c 5 10 15 20 25 21.77 21.87 21.96 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx264 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx264 - Scenario: Video On Demand a b c 10 20 30 40 50 42.54 42.24 42.59 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 7.0 Encoder: libx265 - Scenario: Video On Demand a b c 5 10 15 20 25 21.87 21.96 21.89 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
JPEG-XL libjxl Input: PNG - Quality: 80 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 80 a b c 4 8 12 16 20 14.71 14.70 14.74 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL libjxl Input: PNG - Quality: 90 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 90 a b c 4 8 12 16 20 14.01 13.90 13.85 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL libjxl Input: JPEG - Quality: 80 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 80 a b c 4 8 12 16 20 15.54 15.70 15.63 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL libjxl Input: JPEG - Quality: 90 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 90 a b c 4 8 12 16 20 13.91 13.97 14.18 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL libjxl Input: PNG - Quality: 100 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 100 a b c 2 4 6 8 10 6.478 6.492 6.802 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL libjxl Input: JPEG - Quality: 100 OpenBenchmarking.org MP/s, More Is Better JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 100 a b c 2 4 6 8 10 6.841 6.875 6.409 1. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm
JPEG-XL Decoding libjxl CPU Threads: 1 OpenBenchmarking.org MP/s, More Is Better JPEG-XL Decoding libjxl 0.10.1 CPU Threads: 1 a b c 13 26 39 52 65 57.28 58.16 58.36
JPEG-XL Decoding libjxl CPU Threads: All OpenBenchmarking.org MP/s, More Is Better JPEG-XL Decoding libjxl 0.10.1 CPU Threads: All a b c 50 100 150 200 250 221.85 224.12 223.60
srsRAN Project Test: PDSCH Processor Benchmark, Throughput Total OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Total a b c 400 800 1200 1600 2000 1947.5 1907.6 1910.4 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Total OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Total a b c 140 280 420 560 700 656.1 656.3 656.0 MIN: 508.1 MIN: 508.3 MIN: 508.3 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
srsRAN Project Test: PDSCH Processor Benchmark, Throughput Thread OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PDSCH Processor Benchmark, Throughput Thread a b c 100 200 300 400 500 472.4 482.9 483.3 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
srsRAN Project Test: PUSCH Processor Benchmark, Throughput Thread OpenBenchmarking.org Mbps, More Is Better srsRAN Project 23.10.1-20240325 Test: PUSCH Processor Benchmark, Throughput Thread a b c 30 60 90 120 150 111.9 111.9 111.9 MIN: 79.1 MIN: 79.1 MIN: 79.1 1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Swirl a b c 15 30 45 60 75 68 68 68 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Rotate a b c 30 60 90 120 150 131 134 133 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Sharpen a b c 6 12 18 24 30 24 25 23 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Enhanced a b c 5 10 15 20 25 21 21 21 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Resizing OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Resizing a b c 30 60 90 120 150 139 140 139 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: Noise-Gaussian a b c 8 16 24 32 40 33 33 33 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.43 Operation: HWB Color Space a b c 50 100 150 200 250 209 212 213 1. (CC) gcc options: -fopenmp -O2 -ljxl -ljxl_threads -ltiff -lsharpyuv -lwebp -lwebpmux -ljpeg -llcms2 -lXext -lX11 -lxml2 -lzstd -llzma -lz -lm -lpthread -lgomp
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 4K a b c 0.4988 0.9976 1.4964 1.9952 2.494 2.210 2.217 2.216 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 4K a b c 4 8 12 16 20 14.33 14.83 14.74 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 4K a b c 9 18 27 36 45 34.13 40.19 39.19 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 4K a b c 9 18 27 36 45 34.13 39.99 39.95 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 4 - Input: Bosphorus 1080p a b c 2 4 6 8 10 7.106 7.073 7.164 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b c 11 22 33 44 55 47.83 48.69 49.13 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 12 - Input: Bosphorus 1080p a b c 40 80 120 160 200 183.05 186.17 183.62 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 2.0 Encoder Mode: Preset 13 - Input: Bosphorus 1080p a b c 50 100 150 200 250 219.89 230.19 225.41 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 4K a b c 2 4 6 8 10 7.79 7.76 7.70 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
x265 Video Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better x265 3.6 Video Input: Bosphorus 1080p a b c 9 18 27 36 45 36.10 37.43 36.95 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl
Stockfish Chess Benchmark OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 16.1 Chess Benchmark a b c 1.2M 2.4M 3.6M 4.8M 6M 5533248 5622274 5629735 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -flto -flto-partition=one -flto=jobserver
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 7.0 Time To Compile a b c 30 60 90 120 150 130.24 130.08 130.42
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.8 Build: defconfig a b c 60 120 180 240 300 259.94 258.86 259.54
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 24.0 Time To Compile a b c 16 32 48 64 80 72.00 72.56 72.32
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.3.4 Time To Compile a b c 30 60 90 120 150 127.02 125.72 125.36
Parallel BZIP2 Compression FreeBSD-13.0-RELEASE-amd64-memstick.img Compression OpenBenchmarking.org Seconds, Fewer Is Better Parallel BZIP2 Compression 1.1.13 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression a b c 4 8 12 16 20 15.43 14.95 14.67 1. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread
Primesieve Length: 1e12 OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e12 a b c 7 14 21 28 35 31.72 31.53 30.75 1. (CXX) g++ options: -O3
Primesieve Length: 1e13 OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 12.1 Length: 1e13 a b c 90 180 270 360 450 411.77 411.42 407.80 1. (CXX) g++ options: -O3
oneDNN Harness: IP Shapes 1D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: IP Shapes 1D - Engine: CPU a b c 2 4 6 8 10 8.11905 8.24092 8.09509 MIN: 7.33 MIN: 7.4 MIN: 7.29 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: IP Shapes 3D - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: IP Shapes 3D - Engine: CPU a b c 4 8 12 16 20 15.93 15.94 15.94 MIN: 15.84 MIN: 15.82 MIN: 15.79 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Convolution Batch Shapes Auto - Engine: CPU a b c 8 16 24 32 40 32.78 32.14 32.07 MIN: 32.21 MIN: 31.31 MIN: 31.41 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Deconvolution Batch shapes_1d - Engine: CPU a b c 2 4 6 8 10 8.12705 8.04835 7.88149 MIN: 6.78 MIN: 6.87 MIN: 6.52 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Deconvolution Batch shapes_3d - Engine: CPU a b c 3 6 9 12 15 10.97 10.76 10.54 MIN: 10.02 MIN: 9.86 MIN: 9.84 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Training - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Recurrent Neural Network Training - Engine: CPU a b c 1100 2200 3300 4400 5500 5359.87 5253.25 5265.53 MIN: 5280.39 MIN: 5190.82 MIN: 5196.05 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
oneDNN Harness: Recurrent Neural Network Inference - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.4 Harness: Recurrent Neural Network Inference - Engine: CPU a b c 600 1200 1800 2400 3000 3026.70 3021.36 3027.51 MIN: 2994.53 MIN: 2987.94 MIN: 2992.07 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
ASTC Encoder Preset: Fast OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Fast a b c 20 40 60 80 100 87.97 88.25 88.25 1. (CXX) g++ options: -O3 -flto -pthread
ASTC Encoder Preset: Medium OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Medium a b c 7 14 21 28 35 31.66 31.86 31.92 1. (CXX) g++ options: -O3 -flto -pthread
ASTC Encoder Preset: Thorough OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Thorough a b c 0.7952 1.5904 2.3856 3.1808 3.976 3.5163 3.5343 3.5269 1. (CXX) g++ options: -O3 -flto -pthread
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Exhaustive a b c 0.0651 0.1302 0.1953 0.2604 0.3255 0.2888 0.2891 0.2893 1. (CXX) g++ options: -O3 -flto -pthread
ASTC Encoder Preset: Very Thorough OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.7 Preset: Very Thorough a b c 0.1066 0.2132 0.3198 0.4264 0.533 0.4714 0.4715 0.4737 1. (CXX) g++ options: -O3 -flto -pthread
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 5 10 15 20 25 21.12 21.11 20.33 MIN: 10.31 / MAX: 21.88 MIN: 11.52 / MAX: 21.9 MIN: 11.05 / MAX: 20.93
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a b c 3 6 9 12 15 9.20 9.41 9.33 MIN: 6.17 / MAX: 9.47 MIN: 6.56 / MAX: 9.77 MIN: 6.13 / MAX: 9.65
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c 3 6 9 12 15 12.07 12.18 11.94 MIN: 7.21 / MAX: 12.43 MIN: 7.25 / MAX: 12.56 MIN: 6.82 / MAX: 12.4
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a b c 1.2353 2.4706 3.7059 4.9412 6.1765 5.49 5.49 5.38 MIN: 3.97 / MAX: 5.77 MIN: 4.29 / MAX: 5.78 MIN: 3.94 / MAX: 5.54
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a b c 1.1858 2.3716 3.5574 4.7432 5.929 5.22 5.23 5.27 MIN: 3.69 / MAX: 5.38 MIN: 3.92 / MAX: 5.41 MIN: 3.95 / MAX: 5.39
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b c 0.7808 1.5616 2.3424 3.1232 3.904 3.44 3.47 3.45 MIN: 2.91 / MAX: 3.57 MIN: 2.88 / MAX: 3.71 MIN: 2.79 / MAX: 3.57
TensorFlow Device: CPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet a b c 1.0125 2.025 3.0375 4.05 5.0625 4.49 4.50 4.50
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet a b c 8 16 24 32 40 33.88 32.98 32.39
TensorFlow Device: CPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet a b c 3 6 9 12 15 9.23 9.13 9.08
TensorFlow Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 0.9608 1.9216 2.8824 3.8432 4.804 4.24 4.24 4.27
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet a b c 5 10 15 20 25 19.00 19.18 19.27
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c 2 4 6 8 10 6.26 6.41 6.44
Google Draco Model: Lion OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Lion a b c 1300 2600 3900 5200 6500 6118 6071 6043 1. (CXX) g++ options: -O3
Google Draco Model: Church Facade OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Church Facade a b c 2K 4K 6K 8K 10K 9133 9108 9062 1. (CXX) g++ options: -O3
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: BMW27 - Compute: CPU-Only a b c 70 140 210 280 350 300.58 294.65 293.87
Blender Blend File: Junkshop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Junkshop - Compute: CPU-Only a b c 100 200 300 400 500 441.96 437.43 435.71
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Classroom - Compute: CPU-Only a b c 200 400 600 800 1000 806.41 807.75 808.04
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only a b c 90 180 270 360 450 396.25 398.84 396.96
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Barbershop - Compute: CPU-Only a b c 700 1400 2100 2800 3500 3268.88 3274.13 3250.72
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only a b c 200 400 600 800 1000 1045.17 1039.56 1043.53
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU a b c 0.3533 0.7066 1.0599 1.4132 1.7665 1.54 1.57 1.56 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU a b c 600 1200 1800 2400 3000 2574.13 2546.92 2556.28 MIN: 2254.74 / MAX: 2653.31 MIN: 2513.86 / MAX: 2601.8 MIN: 2468.67 / MAX: 2640.12 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU a b c 3 6 9 12 15 13.24 13.23 13.34 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU a b c 70 140 210 280 350 301.78 301.71 299.83 MIN: 243.96 / MAX: 331.21 MIN: 173.37 / MAX: 328.62 MIN: 260.47 / MAX: 328.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU a b c 3 6 9 12 15 13.34 13.28 13.35 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU a b c 70 140 210 280 350 299.34 300.92 299.04 MIN: 182.42 / MAX: 332.88 MIN: 245.35 / MAX: 326.58 MIN: 162.63 / MAX: 543.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU a b c 20 40 60 80 100 92.95 92.28 92.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU a b c 10 20 30 40 50 42.99 43.30 42.99 MIN: 26.45 / MAX: 62.29 MIN: 32.15 / MAX: 67.22 MIN: 28.92 / MAX: 70.82 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU a b c 0.4635 0.927 1.3905 1.854 2.3175 2.06 2.06 2.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU a b c 400 800 1200 1600 2000 1943.55 1942.45 1936.65 MIN: 1925.71 / MAX: 1960.88 MIN: 1920.45 / MAX: 1959.28 MIN: 1865.27 / MAX: 1956.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU a b c 80 160 240 320 400 381.36 381.71 382.49 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU a b c 3 6 9 12 15 10.46 10.45 10.43 MIN: 7.82 / MAX: 26.01 MIN: 8.28 / MAX: 31.34 MIN: 8.16 / MAX: 28.53 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU a b c 5 10 15 20 25 18.91 19.04 19.02 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU a b c 50 100 150 200 250 211.40 209.84 210.13 MIN: 137.19 / MAX: 236.54 MIN: 109.4 / MAX: 239.8 MIN: 140.46 / MAX: 237.3 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 30 60 90 120 150 130.24 129.94 130.31 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c 7 14 21 28 35 30.68 30.75 30.67 MIN: 20.62 / MAX: 48.27 MIN: 20.65 / MAX: 53.5 MIN: 20.03 / MAX: 56.5 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU a b c 30 60 90 120 150 149.46 148.14 149.03 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU a b c 6 12 18 24 30 26.74 26.97 26.82 MIN: 21 / MAX: 46.62 MIN: 22.68 / MAX: 45.64 MIN: 18.38 / MAX: 50.57 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU a b c 100 200 300 400 500 461.19 464.04 464.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Face Detection Retail FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU a b c 2 4 6 8 10 8.64 8.59 8.59 MIN: 6.19 / MAX: 19.81 MIN: 6.21 / MAX: 24.6 MIN: 6.25 / MAX: 24.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU a b c 14 28 42 56 70 61.04 62.57 62.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Road Segmentation ADAS FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU a b c 15 30 45 60 75 65.47 63.87 64.34 MIN: 47.92 / MAX: 97.87 MIN: 44.45 / MAX: 100.48 MIN: 46.49 / MAX: 95.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU a b c 4 8 12 16 20 17.86 17.19 17.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU a b c 50 100 150 200 250 223.74 232.42 231.91 MIN: 170.02 / MAX: 251.76 MIN: 198.56 / MAX: 274.36 MIN: 207.67 / MAX: 260 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 50 100 150 200 250 213.14 204.55 204.82 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c 5 10 15 20 25 18.74 19.53 19.51 MIN: 14.49 / MAX: 41.06 MIN: 14.33 / MAX: 32.31 MIN: 14.37 / MAX: 42.61 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 40 80 120 160 200 188.54 188.32 189.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c 5 10 15 20 25 21.19 21.21 21.13 MIN: 13.35 / MAX: 37.6 MIN: 14.76 / MAX: 37.88 MIN: 14.16 / MAX: 38.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Noise Suppression Poconet-Like FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU a b c 50 100 150 200 250 205.26 204.99 204.83 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Noise Suppression Poconet-Like FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU a b c 5 10 15 20 25 19.40 19.42 19.43 MIN: 13.98 / MAX: 35.99 MIN: 13.1 / MAX: 34.98 MIN: 14.56 / MAX: 35.32 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU a b c 12 24 36 48 60 54.62 54.71 54.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU a b c 16 32 48 64 80 73.18 73.06 73.01 MIN: 58.4 / MAX: 103.02 MIN: 58.07 / MAX: 102.86 MIN: 59.03 / MAX: 101.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Re-Identification Retail FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU a b c 50 100 150 200 250 221.06 221.31 221.65 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Person Re-Identification Retail FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU a b c 4 8 12 16 20 18.06 18.04 18.02 MIN: 11.69 / MAX: 35.08 MIN: 13.99 / MAX: 31.97 MIN: 12.98 / MAX: 36.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 600 1200 1800 2400 3000 2601.61 2665.57 2631.67 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c 0.3398 0.6796 1.0194 1.3592 1.699 1.51 1.47 1.49 MIN: 1.09 / MAX: 13.78 MIN: 1.18 / MAX: 21.34 MIN: 0.96 / MAX: 22.4 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c 13 26 39 52 65 57.60 59.50 57.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Handwritten English Recognition FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU a b c 15 30 45 60 75 69.38 67.18 69.32 MIN: 51.94 / MAX: 94.93 MIN: 54.17 / MAX: 103.62 MIN: 51.14 / MAX: 99.78 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 1100 2200 3300 4400 5500 5124.53 5125.62 5091.90 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c 0.171 0.342 0.513 0.684 0.855 0.76 0.76 0.76 MIN: 0.51 / MAX: 10.14 MIN: 0.5 / MAX: 14.11 MIN: 0.5 / MAX: 13.98 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
RocksDB Test: Overwrite OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Overwrite a b c 120K 240K 360K 480K 600K 552729 558575 553291 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Random Read a b c 4M 8M 12M 16M 20M 20818470 20769467 20768941 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Update Random a b c 70K 140K 210K 280K 350K 323621 325226 324608 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read While Writing a b c 150K 300K 450K 600K 750K 658357 698869 689750 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 9.0 Test: Read Random Write Random a b c 170K 340K 510K 680K 850K 769845 772918 772309 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti
WavPack Audio Encoding WAV To WavPack OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.7 WAV To WavPack a b c 4 8 12 16 20 16.14 16.39 16.22
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.38.2 VGR Performance Metric a b c 20K 40K 60K 80K 100K 81913 81825 81286 1. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6
Chaos Group V-RAY Mode: CPU OpenBenchmarking.org vsamples, More Is Better Chaos Group V-RAY 6.0 Mode: CPU a b c 1400 2800 4200 5600 7000 6370 6370 6304
Phoronix Test Suite v10.8.4