dldl Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 8GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 8GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080 Stockfish 16.1 Chess Benchmark Nodes Per Second > Higher Is Better a . 9022315 |================================================================ b . 9265428 |================================================================== Timed Mesa Compilation 24.0 Time To Compile Seconds < Lower Is Better a . 44.07 |==================================================================== b . 43.44 |=================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 27.59 |==================================================================== b . 23.28 |========================================================= PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 8.60 |========================================================== b . 10.12 |==================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 13.89 |=================================================================== b . 14.06 |==================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 13.97 |==================================================================== b . 13.96 |==================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 15.38 |==================================================================== b . 15.37 |==================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.99 |===================================================================== b . 6.00 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.46 |============================================================== b . 6.03 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.41 |============================================================== b . 6.01 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 5.92 |=================================================================== b . 6.10 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 4.20 |===================================================================== b . 4.07 |=================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 4.21 |===================================================================== b . 4.20 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.68 |=============================================================== b . 4.03 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 15.39 |==================================================================== b . 15.44 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 83.80 |==================================================================== b . 83.64 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 90.70 |==================================================================== b . 90.71 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 94.20 |==================================================================== b . 93.82 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 33.99 |==================================================================== b . 34.00 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 10.47 |==================================================================== b . 10.48 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 45.74 |==================================================================== b . 45.75 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 13.35 |==================================================================== b . 13.39 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 43.23 |==================================================================== b . 43.33 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 13.87 |==================================================================== b . 13.93 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 42.89 |==================================================================== b . 43.05 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 14.15 |==================================================================== b . 14.18 |==================================================================== Blender 4.1 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 201.86 |=================================================================== b . 201.47 |=================================================================== Blender 4.1 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better a . 281.82 |=================================================================== b . 279.49 |================================================================== Blender 4.1 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 573.49 |=================================================================== b . 561.44 |================================================================== Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 283.45 |=================================================================== b . 282.54 |=================================================================== Blender 4.1 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 2138.39 |================================================================== b . 2132.05 |================================================================== Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 692.47 |=================================================================== b . 689.24 |=================================================================== RocksDB 9.0 Test: Overwrite Op/s > Higher Is Better a . 638938 |=================================================================== b . 641031 |=================================================================== RocksDB 9.0 Test: Random Fill Op/s > Higher Is Better a . 640601 |=================================================================== b . 642443 |=================================================================== RocksDB 9.0 Test: Random Read Op/s > Higher Is Better a . 42403226 |================================================================= b . 42180062 |================================================================= RocksDB 9.0 Test: Update Random Op/s > Higher Is Better a . 328045 |=================================================================== b . 322860 |================================================================== RocksDB 9.0 Test: Sequential Fill Op/s > Higher Is Better a . 945889 |=================================================================== b . 899566 |================================================================ RocksDB 9.0 Test: Random Fill Sync Op/s > Higher Is Better a . 10748 |==================================================================== b . 10370 |================================================================== RocksDB 9.0 Test: Read While Writing Op/s > Higher Is Better a . 1726017 |================================================================== b . 1562855 |============================================================ RocksDB 9.0 Test: Read Random Write Random Op/s > Higher Is Better a . 1210989 |================================================================== b . 1205546 |================================================================== BRL-CAD 7.38.2 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 122838 |=================================================================== b . 123265 |===================================================================