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
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.
,,"a","b","c","AMD EPYC 7303 16-Core","d","e","f","g"
Processor,,2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads),2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads),2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads),AMD EPYC 7303 16-Core @ 2.40GHz (16 Cores / 32 Threads),2 x AMD EPYC 7203 8-Core @ 2.80GHz (16 Cores / 32 Threads),2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads),2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads),2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads)
Motherboard,,AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS),AMD DAYTONA_X (RYM1009B BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,256GB,256GB,256GB,256GB,512GB,512GB,512GB,512GB
Disk,,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP
Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED
Monitor,,VE228,VE228,VE228,VE228,,,,
Network,,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710,2 x Mellanox MT27710
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64),5.15.0-47-generic (x86_64)
Desktop,,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4,GNOME Shell 42.4
Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3
Vulkan,,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204,1.2.204
Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4,ext4,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1024x768,1024x768,1024x768,1024x768
,,"a","b","c","AMD EPYC 7303 16-Core","d","e","f","g"
"OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,,,,,144,273,275,274
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,,,,,267,495,497,495
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,153.78,152.94,152.5,871.17,974.94,505.43,504.18,506.55
"Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,182.491,179.986,179.539,815.395,830.492,462.138,462.599,462.696
"OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,174.49,173.59,174.45,551.24,489.75,304.03,306.37,303.58
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,132.37,129.61,132.8,357.27,429.22,302.03,305.55,307.24
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,147.64,146.17,146.31,202.93,235.98,192.24,192.62,192.49
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,49.66,49.32,48.96,280.03,296.74,155.52,157.08,157.59
"Laghos - Test: Sedov Blast Wave, ube_922_hex.mesh (Major Kernels Rate)",HIB,282.55,282.08,279.20,148.49,132.46,234.135345612,233.54,233.047063651
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,,,,,149.203,140.297,130.447,133.177
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,130.4,134.61,131.25,102.8,129.36,118.07,120.33,122.81
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,40.28,40.21,40.04,226.06,237.87,116.68,117.05,118.34
"OpenRadioss - Model: Bumper Beam (sec)",LIB,115.89,116.73,116.3,118.33,134.32,105.44,105.68,107.04
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,75.603,75.778,75.836,120.85,125.918,92.447,91.913,92.528
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,3037.72,3379.25,3281.24,3556.44
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,3019.31,3494.51,3341.93,3451.09
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,3028.36,3216.13,3462.9,3272.36
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,1466.25,1137.11,1128.3,1149.15
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,1445.86,1161.8,1153.45,1145.62
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,1451.2,1114.67,1139.54,1129.54
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,,,,,0.28,0.48,0.48,0.48
"Laghos - Test: Triple Point Problem (Major Kernels Rate)",HIB,164.19,162.65,167.28,132.65,114.18,182.23,181.55,180.93
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,623.9,623.64,623.6,921.14,478.92,463.57,462.78,462.57
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,51.12,51.17,51.2,8.66,8.35,17.2,17.27,17.28
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,157.75,157.4,156.74,189.92,107.81,109.89,109.16,110.71
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,202.68,203.14,203.96,42.11,37.06,72.71,73.23,72.14
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,141.33,141.24,143.55,168.3,92.53,93.45,93.5,94.17
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,226.15,226.27,222.73,47.46,43.18,85.51,85.46,84.86
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,11.89,12.03,11.86,15.34,10.8,9.13,9.21,9.11
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,2687.19,2655.09,2694.27,520.89,369.7,873.34,865.28,875.64
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,23.81,23.85,23.86,33.62,20.44,19.25,19.25,19.25
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1342.68,1340.29,1340.12,237.79,195.5,415.32,415.12,415.15
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,142.22,142.42,142.29,102.82,93.16,105.22,105.23,105.33
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,899.15,897.77,898.69,155.5,171.61,303.8,303.83,303.59
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,,,,,65.733,55.336,60.049,56.337
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.85,0.85,0.86,0.68,0.66,0.67,0.7,0.66
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,98494.41,101883.13,101985.21,23110.2,23725.57,46823.73,45126.45,47926.34
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,9.66,9.68,9.67,14,8.49,7.29,7.29,7.29
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,3308.28,3302.83,3303.59,570.58,470.46,1096.25,1095.27,1095.68
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,23.98,23.98,23.97,18.63,18.65,18.46,18.67,18.48
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,5333.24,5334.87,5335.15,858.21,856.63,1727.34,1708.45,1725.37
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,3.34,3.34,3.35,4.55,3.24,2.53,2.53,2.53
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,9543.23,9544.95,9527.76,1754.67,1232.95,3153.9,3148.82,3148.97
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,20.44,20.73,20.45,109.21,116.66,62.52,62.18,62.31
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,41.424,40.837,42.41,60.19,64.146,48.724,48.844,48.731
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,26.54,26.35,26.53,65.55,63.71,41.05,41.01,40.85
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,16.08,16.08,16.19,89.45,94.86,50.21,50.25,50.09
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,,,,,13.8445,26.0698,26.2737,26.1574
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,23.875,23.974,23.939,67.408,68.675,43.41,43.477,43.318
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,,,,,15.7439,29.6195,29.5206,29.5908
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,643823,647995,678765,116102,106826,214511,216258,218417
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,507611,505036,499347,135892,113384,210620,212139,209887
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,,,,,0.56,0.95,0.95,0.95
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,,,,,0.56,0.95,0.95,0.95
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,,,,,14.3991,26.5233,26.6112,26.3986
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,,,,,15.8702,29.9805,30.1314,30.0261
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,,,,,16.1253,30.1028,30.3378,30.2552
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,,,,,17.4784,32.9696,33.0392,32.9662
"Remhos - Test: Sample Remap Example (sec)",LIB,11.284,11.02,11.709,37.307,39.71,23.463,23.488,23.723
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,5.54136,5.67018,5.66435,5.63319
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,1.94173,1.93352,1.9522,1.95024
"libxsmm - M N K: 64 (GFLOPS/s)",HIB,980.5,923.9,920.8,406.9,442.5,727.2,737.3,723.4
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,2.34565,1.89405,1.77064,2.1207
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,1.6509,1.44749,1.92348,2.28469
"libxsmm - M N K: 32 (GFLOPS/s)",HIB,540.3,471,467.3,273.2,356.5,484.7,482.9,470.9
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,4.51333,3.84916,4.18974,3.94733
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,0.768449,1.05324,1.14379,1.08661
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,6.786,6.881,6.929,9.186,10.133,7.801,7.824,7.825
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,4.27338,4.10412,3.83995,4.05768
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,2.67723,1.74244,1.69817,1.84652
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,5.474,5.485,5.535,5.779,6.186,5.855,5.817,5.815
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,,,,,3.291,2.831,2.672,2.766
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,3.248,3.331,3.309,5.282,5.771,3.965,3.976,3.962
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,4.63185,3.14371,3.06111,3.14105
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,,,,,1.92811,1.16856,1.16545,1.17023
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,,
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,,