EPYC 7F32 Last

AMD EPYC 7F32 8-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012274-HA-EPYC7F32L08
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Audio Encoding 4 Tests
Timed Code Compilation 2 Tests
CPU Massive 2 Tests
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HPC - High Performance Computing 2 Tests
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Programmer / Developer System Benchmarks 2 Tests

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Run 1
December 26 2020
  1 Hour, 54 Minutes
Run 2
December 26 2020
  1 Hour, 37 Minutes
Run 3
December 27 2020
  1 Hour, 38 Minutes
Run 4
December 27 2020
  1 Hour, 37 Minutes
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EPYC 7F32 Last AMD EPYC 7F32 8-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. ,,"Run 1","Run 2","Run 3","Run 4" Processor,,AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads) Motherboard,,Supermicro H11DSi-NT v2.00 (2.1 BIOS),Supermicro H11DSi-NT v2.00 (2.1 BIOS),Supermicro H11DSi-NT v2.00 (2.1 BIOS),Supermicro H11DSi-NT v2.00 (2.1 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,64GB,64GB,64GB,64GB Disk,,280GB INTEL SSDPE21D280GA,280GB INTEL SSDPE21D280GA,280GB INTEL SSDPE21D280GA,280GB INTEL SSDPE21D280GA Graphics,,llvmpipe,llvmpipe,llvmpipe,llvmpipe Monitor,,VE228,VE228,VE228,VE228 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.8.0-050800rc6daily20200721-generic (x86_64) 20200720,5.8.0-050800rc6daily20200721-generic (x86_64) 20200720,5.8.0-050800rc6daily20200721-generic (x86_64) 20200720,5.8.0-050800rc6daily20200721-generic (x86_64) 20200720 Desktop,,GNOME Shell 3.36.1,GNOME Shell 3.36.1,GNOME Shell 3.36.1,GNOME Shell 3.36.1 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 OpenGL,,3.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits),3.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits),3.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits),3.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits) Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080 ,,"Run 1","Run 2","Run 3","Run 4" "CLOMP - Static OMP Speedup (Speedup)",HIB,29.8,29.6,29.0,29.7 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.54939,3.55093,3.55967,3.55938 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,6.22116,6.15155,6.12560,6.17937 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.79140,2.78976,2.79003,2.79287 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.788963,0.795590,0.797020,0.788043 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,4.98064,4.92337,4.95449,4.92898 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,4.94409,4.96823,4.95793,4.93690 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.42420,6.42196,6.42311,6.41776 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.66757,9.62355,9.46619,9.59529 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.20000,7.21888,7.22277,7.22008 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5.58298,5.57986,5.57860,5.58763 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3604.40,3436.43,3431.50,3417.31 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1708.29,1708.22,1711.14,1711.87 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3429.54,3438.99,3436.78,3427.26 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1711.39,1718.14,1716.53,1711.28 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.16439,1.15868,1.15947,1.16157 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3417.91,3441.93,3441.20,3421.95 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1704.97,1715.65,1712.85,1714.22 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.59741,3.59581,3.59103,3.59799 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,19.94,19.81,19.89,19.88 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.87,6.84,6.85,6.83 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,6.66,6.64,6.62,6.60 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,9.61,9.63,9.60,9.60 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,6.14,5.94,5.97,6.02 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,10.58,10.55,10.46,10.48 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.31,3.34,3.3,3.31 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,15.65,15.52,15.48,16.38 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,32.45,32.41,32.32,32.31 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,11.52,11.57,11.48,11.57 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,7.58,7.60,7.60,7.59 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,23.02,22.96,22.89,23.04 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,27.06,26.71,26.40,27.10 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,24.86,24.48,24.46,25.31 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,32.07,32.19,32.35,32.03 "Unpacking The Linux Kernel - linux-4.15.tar.xz (sec)",LIB,5.974,5.972,6.016,5.852 "Build2 - Time To Compile (sec)",LIB,112.078,112.778,112.673,112.457 "Timed Eigen Compilation - Time To Compile (sec)",LIB,82.883,82.951,83.069,82.994 "Monkey Audio Encoding - WAV To APE (sec)",LIB,12.507,12.512,12.489,12.493 "Ogg Audio Encoding - WAV To Ogg (sec)",LIB,20.574,20.574,20.583,20.555 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,7.972,7.973,7.969,7.966 "WavPack Audio Encoding - WAV To WavPack (sec)",LIB,13.731,13.731,13.730,13.732 "Unpacking Firefox - Extracting: firefox-84.0.source.tar.xz (sec)",LIB,20.372,20.273,20.221,20.210