Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 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 2310231-NE-77132P99738
7713 2P,
"OpenVINO 2023.1 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Blender 3.6 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"7-Zip Compression 22.01 - Test: Decompression Rating",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Blender 3.6 - Blend File: Pabellon Barcelona - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Blender 3.6 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Blender 3.6 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Blender 3.6 - Blend File: Fishy Cat - Compute: CPU-Only",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Timed Linux Kernel Compilation 6.1 - Build: allmodconfig",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"7-Zip Compression 22.01 - Test: Compression Rating",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Remhos 1.0 - Test: Sample Remap Example",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenRadioss 2023.09.15 - Model: INIVOL and Fluid Structure Interaction Drop Container",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenRadioss 2023.09.15 - Model: Chrysler Neon 1M",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Timed Linux Kernel Compilation 6.1 - Build: defconfig",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenRadioss 2023.09.15 - Model: Cell Phone Drop Test",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"libxsmm 2-1.17-3645 - M N K: 64",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Laghos 3.1 - Test: Sedov Blast Wave, ube_922_hex.mesh",
Higher Results Are Better
"a",282.5474248609
"b",282.0798906227
"c",279.2038034441
"AMD EPYC 7303 16-Core",148.4877405856
"d",132.4586258631
"e",
"f",233.5351427809
"g",
"OpenVINO 2023.1 - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"libxsmm 2-1.17-3645 - M N K: 32",
Higher Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVKL 2.0.0 - Benchmark: vklBenchmarkCPU Scalar",
Higher Results Are Better
"d",
"e",
"f",
"g",
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"d",
"e",
"f",
"g",
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon Obj",
Higher Results Are Better
"d",
"e",
"f",
"g",
"Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon",
Higher Results Are Better
"d",
"e",
"f",
"g",
"Embree 4.3 - Binary: Pathtracer - Model: Crown",
Higher Results Are Better
"d",
"e",
"f",
"g",
"Embree 4.3 - Binary: Pathtracer - Model: Asian Dragon Obj",
Higher Results Are Better
"d",
"e",
"f",
"g",
"OpenVKL 2.0.0 - Benchmark: vklBenchmarkCPU ISPC",
Higher Results Are Better
"d",
"e",
"f",
"g",
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Face Detection Retail FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"libavif avifenc 1.0 - Encoder Speed: 6",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Intel Open Image Denoise 2.1 - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only",
Higher Results Are Better
"d",0.27929138190583
"e",0.47675349937069
"f",0.47604539568893
"g",0.47536876732125
"Intel Open Image Denoise 2.1 - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only",
Higher Results Are Better
"d",0.55759698005476
"e",0.95243537725965
"f",0.95337973114692
"g",0.95072397630796
"Intel Open Image Denoise 2.1 - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only",
Higher Results Are Better
"d",0.55542904116285
"e",0.94657529059861
"f",0.948406676783
"g",0.94652153336488
"OpenVINO 2023.1 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"libavif avifenc 1.0 - Encoder Speed: 0",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"OpenRadioss 2023.09.15 - Model: Bird Strike on Windshield",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"Laghos 3.1 - Test: Triple Point Problem",
Higher Results Are Better
"a",164.1853025022
"b",162.6526581107
"c",167.2802807373
"AMD EPYC 7303 16-Core",132.6534916278
"d",114.1807713449
"e",182.2321950878
"f",181.5503363602
"g",180.9323489186
"oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"libavif avifenc 1.0 - Encoder Speed: 2",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Handwritten English Recognition FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"libavif avifenc 1.0 - Encoder Speed: 6, Lossless",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"OpenRadioss 2023.09.15 - Model: Rubber O-Ring Seal Installation",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"OpenVINO 2023.1 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"OpenRadioss 2023.09.15 - Model: Bumper Beam",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240",
Lower Results Are Better
"d",
"e",
"f",
"g",
"easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"easyWave r34 - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"libavif avifenc 1.0 - Encoder Speed: 10, Lossless",
Lower Results Are Better
"a",
"b",
"c",
"AMD EPYC 7303 16-Core",
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",
"oneDNN 3.3 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"d",
"e",
"f",
"g",