epyc-75f3-new

2 x AMD EPYC 75F3 32-Core testing with a ASRockRack ROME2D16-2T (P3.30 BIOS) and ASPEED on Ubuntu 21.10 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 2204097-NE-EPYC75F3N46

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Creator Workloads ^{2 Tests}
HPC - High Performance Computing ^{2 Tests}
Machine Learning ^{2 Tests}
Multi-Core ^{2 Tests}

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A

April 09 2022

1 Hour, 46 Minutes

AA

April 09 2022

39 Minutes

B

April 09 2022

39 Minutes

C

April 09 2022

39 Minutes

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56 Minutes

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epyc-75f3-new 2 x AMD EPYC 75F3 32-Core testing with a ASRockRack ROME2D16-2T (P3.30 BIOS) and ASPEED on Ubuntu 21.10 via the Phoronix Test Suite. ,,"A","AA","B","C" Processor,,2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads),2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads),2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads),2 x AMD EPYC 75F3 32-Core @ 2.95GHz (64 Cores / 128 Threads) Motherboard,,ASRockRack ROME2D16-2T (P3.30 BIOS),ASRockRack ROME2D16-2T (P3.30 BIOS),ASRockRack ROME2D16-2T (P3.30 BIOS),ASRockRack ROME2D16-2T (P3.30 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,128GB,128GB,128GB,128GB Disk,,1000GB Western Digital WD_BLACK SN850 1TB,1000GB Western Digital WD_BLACK SN850 1TB,1000GB Western Digital WD_BLACK SN850 1TB,1000GB Western Digital WD_BLACK SN850 1TB Graphics,,ASPEED,ASPEED,ASPEED,ASPEED Audio,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Network,,2 x Intel 10G X550T,2 x Intel 10G X550T,2 x Intel 10G X550T,2 x Intel 10G X550T OS,,Ubuntu 21.10,Ubuntu 21.10,Ubuntu 21.10,Ubuntu 21.10 Kernel,,5.17.0-051700rc4daily20220219-generic (x86_64),5.17.0-051700rc4daily20220219-generic (x86_64),5.17.0-051700rc4daily20220219-generic (x86_64),5.17.0-051700rc4daily20220219-generic (x86_64) Desktop,,GNOME Shell 40.5,GNOME Shell 40.5,GNOME Shell 40.5,GNOME Shell 40.5 Display Server,,X Server,X Server,X Server,X Server Vulkan,,1.1.182,1.1.182,1.1.182,1.1.182 Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1024x768,1024x768 ,,"A","AA","B","C" "libavif avifenc - Encoder Speed: 0 (sec)",LIB,69.460,69.411,70.327,70.646 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,38.784,38.728,37.566,39.573 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,4.278,4.093,3.986,4.215 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,7.215,7.389,7.514,7.185 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,5.010,5.229,5.197,4.971 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.94158,3.7792,3.18091,3.85444 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,2.63912,2.54811,2.56643,2.54404 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.05569,4.25865,4.77292,2.55861 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.747084,0.815632,0.757826,0.74301 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,0.705380,0.708812,0.684799,0.689583 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,11.2361,11.1395,11.2174,11.1942 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.12767,2.10407,1.94632,1.99639 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.897288,1.24701,0.928893,0.78443 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.68391,1.07515,1.853,1.23753 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.878553,0.904662,0.803426,0.829217 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3874.18,4530.24,4336.25,4224.87 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1693.03,1803.51,1810.37,1713.39 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3819.45,4416.22,4623.03,4390.23 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1624.246,2016.94,1801.29,1696.6 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,11.51214,17.5534,12.4965,21.6718 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,4276.7,4464.12,3862.48 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,1711.61,1734.92,1721.12 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,22.9061,27.3436,29.1013 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,, "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,,1308,1225,1242 "ONNX Runtime - Model: GPT-2 - Device: CPU - Executor: Standard (Inferences/min)",HIB,,13234,13106,9094 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,,434,436,436 "ONNX Runtime - Model: yolov4 - Device: CPU - Executor: Standard (Inferences/min)",HIB,,355,291,316 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,,594,592,592 "ONNX Runtime - Model: bertsquad-12 - Device: CPU - Executor: Standard (Inferences/min)",HIB,,540,643,539 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,,123,123,124 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard (Inferences/min)",HIB,,170,158,152 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,,1225,1235,1229 "ONNX Runtime - Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard (Inferences/min)",HIB,,1194,1244,1279 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Parallel (Inferences/min)",HIB,,4320,4242,4233 "ONNX Runtime - Model: super-resolution-10 - Device: CPU - Executor: Standard (Inferences/min)",HIB,,4626,7762,4488 "perf-bench - Benchmark: Epoll Wait (ops/sec)",HIB,2352,2299,2572,2062 "perf-bench - Benchmark: Futex Hash (ops/sec)",HIB,2976792,2976712,2979134,2945494 "perf-bench - Benchmark: Memcpy 1MB (GB/sec)",HIB,42.868389,42.829829,44.147916,42.926485 "perf-bench - Benchmark: Memset 1MB (GB/sec)",HIB,62.455072,63.415414,63.789341,63.185354 "perf-bench - Benchmark: Sched Pipe (ops/sec)",HIB,345990,351368,346133,339461 "perf-bench - Benchmark: Futex Lock-Pi (ops/sec)",HIB,77,77,80,77 "perf-bench - Benchmark: Syscall Basic (ops/sec)",HIB,17051621,17052202,16941879,16924594