EPYC Linux 5.9

2 x AMD EPYC 7272 12-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 20.04 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 2009224-FI-EPYCLINUX47
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HPC - High Performance Computing 5 Tests
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Linux 5.8-rc6
September 22 2020
  10 Hours, 49 Minutes
Linux 5.8.10
September 22 2020
  4 Hours, 13 Minutes
Linux 5.9-rc6+
September 22 2020
  10 Hours, 55 Minutes
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  8 Hours, 39 Minutes

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EPYC Linux 5.9 2 x AMD EPYC 7272 12-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite. ,,"Linux 5.8-rc6","Linux 5.8.10","Linux 5.9-rc6+" Processor,,2 x AMD EPYC 7272 12-Core @ 2.90GHz (24 Cores / 48 Threads),2 x AMD EPYC 7272 12-Core @ 2.90GHz (24 Cores / 48 Threads),2 x AMD EPYC 7272 12-Core @ 2.90GHz (24 Cores / 48 Threads) Motherboard,,Supermicro H11DSi-NT v2.00 (2.1 BIOS),Supermicro H11DSi-NT v2.00 (2.1 BIOS),Supermicro H11DSi-NT v2.00 (2.1 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,504GB,504GB,504GB Disk,,280GB INTEL SSDPE21D280GA,280GB INTEL SSDPE21D280GA,280GB INTEL SSDPE21D280GA Graphics,,ASPEED,ASPEED,ASPEED Monitor,,VE228,VE228,VE228 Network,,2 x Intel 10G X550T,2 x Intel 10G X550T,2 x Intel 10G X550T OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.8.0-050800rc6daily20200721-generic (x86_64) 20200720,5.8.10-050810-generic (x86_64),5.9.0-050900rc6daily20200922-generic (x86_64) 20200921 Desktop,,GNOME Shell 3.36.1,GNOME Shell 3.36.1,GNOME Shell 3.36.1 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"Linux 5.8-rc6","Linux 5.8.10","Linux 5.9-rc6+" "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,13.146,14.976,13.986 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,40.218,40.831,40.090 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,13.968,15.856,14.245 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,9.325,10.126,10.812 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,43.013,42.849,43.449 "NCNN - Target: CPU - Model: squeezenet_int8 (ms)",LIB,25.92,26.96,28.06 "NCNN - Target: CPU - Model: mobilenet_v3 (ms)",LIB,18.13,16.24,17.39 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,22.65,21.82,24.15 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,21.72,25.85,22.18 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,7.89,8.75,8.44 "NCNN - Target: CPU - Model: googlenet_int8 (ms)",LIB,69.27,84.66,70.84 "NCNN - Target: CPU - Model: vgg16_int8 (ms)",LIB,120.95,127.47,118.20 "NCNN - Target: CPU - Model: resnet18_int8 (ms)",LIB,35.23,35.88,36.17 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,12.19,12.20,12.31 "NCNN - Target: CPU - Model: resnet50_int8 (ms)",LIB,93.80,92.49,92.33 "NCNN - Target: CPU - Model: mobilenetv2_yolov3 (ms)",LIB,29.86,32.14,30.68 "Kripke - (Throughput FoM)",HIB,61873427,62763517,63306793 "Incompact3D - Input: Cylinder (sec)",LIB,224.495275,222.295451,220.988174 "GPAW - Input: Carbon Nanotube (sec)",LIB,113.230,114.470,113.511