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" "libxsmm - M N K: 32 (GFLOPS/s)",HIB,540.3,471,467.3,273.2,356.5,484.7,482.9,470.9 "libxsmm - M N K: 64 (GFLOPS/s)",HIB,980.5,923.9,920.8,406.9,442.5,727.2,737.3,723.4 "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 "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 "OpenRadioss - Model: Bumper Beam (sec)",LIB,115.89,116.73,116.3,118.33,134.32,105.44,105.68,107.04 "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: Cell Phone Drop Test (sec)",LIB,26.54,26.35,26.53,65.55,63.71,41.05,41.01,40.85 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,147.64,146.17,146.31,202.93,235.98,192.24,192.62,192.49 "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 "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 "Remhos - Test: Sample Remap Example (sec)",LIB,11.284,11.02,11.709,37.307,39.71,23.463,23.488,23.723 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,507611,505036,499347,135892,113384,210620,212139,209887 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,643823,647995,678765,116102,106826,214511,216258,218417 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,75.603,75.778,75.836,120.85,125.918,92.447,91.913,92.528 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,41.424,40.837,42.41,60.19,64.146,48.724,48.844,48.731 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,3.248,3.331,3.309,5.282,5.771,3.965,3.976,3.962 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,6.786,6.881,6.929,9.186,10.133,7.801,7.824,7.825 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,5.474,5.485,5.535,5.779,6.186,5.855,5.817,5.815 "Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,23.875,23.974,23.939,67.408,68.675,43.41,43.477,43.318 "Timed Linux Kernel Compilation - Build: allmodconfig (sec)",LIB,182.491,179.986,179.539,815.395,830.492,462.138,462.599,462.696 "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 "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 "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 "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 "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 "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: 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: 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: 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: 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: 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: 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 "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: 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: 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: 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: 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: 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: 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: 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: 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: 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 "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: 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: 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 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,,,,,17.4784,32.9696,33.0392,32.9662 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,,,,,15.7439,29.6195,29.5206,29.5908 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,,,,,16.1253,30.1028,30.3378,30.2552 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,,,,,15.8702,29.9805,30.1314,30.0261 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,,,,,13.8445,26.0698,26.2737,26.1574 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,,,,,14.3991,26.5233,26.6112,26.3986 "OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,,,,,144,273,275,274 "OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,,,,,267,495,497,495 "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 "Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,,,,,0.28,0.48,0.48,0.48 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,,,,,2.67723,1.74244,1.69817,1.84652 "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: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,, "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 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,, "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: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,, "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 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,, "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 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,,,, "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: u8s8f32 - Engine: CPU (ms)",LIB,,,,,3037.72,3379.25,3281.24,3556.44 "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: f32 - Engine: CPU (ms)",LIB,,,,,1451.2,1114.67,1139.54,1129.54 "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: bf16bf16bf16 - Engine: CPU (ms)",LIB,,,,,1466.25,1137.11,1128.3,1149.15 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,,,,,3.291,2.831,2.672,2.766 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,,,,,65.733,55.336,60.049,56.337 "easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,,,,,149.203,140.297,130.447,133.177