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.

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CPU Massive 4 Tests
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  Test
  Duration
a
October 03 2023
  50 Minutes
b
October 03 2023
  50 Minutes
c
October 03 2023
  50 Minutes
AMD EPYC 7303 16-Core
October 08 2023
  1 Hour, 37 Minutes
d
October 18 2023
  2 Hours, 29 Minutes
e
October 23 2023
  1 Hour, 53 Minutes
f
October 23 2023
  1 Hour, 53 Minutes
g
October 23 2023
  1 Hour, 53 Minutes
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  1 Hour, 32 Minutes

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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,,,,,,,,