pytorch epyc

AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 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 2311161-NE-PYTORCHEP15
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November 16 2023
  46 Minutes
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November 16 2023
  46 Minutes
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November 17 2023
  46 Minutes
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pytorch epycOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads)AMD Cinnabar (RCB1009C BIOS)AMD Device 14a4192GB800GB Micron_7450_MTFDKBA800TFSASPEED2 x Broadcom NetXtreme BCM5720 PCIeUbuntu 23.106.5.0-5-generic (x86_64)GNOME Shell 45.0X Server 1.21.1.7GCC 13.2.0ext4640x480ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionPytorch Epyc BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212 - Python 3.11.5- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%101%101%102%102%PyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchPyTorchCPU - 256 - ResNet-152CPU - 16 - ResNet-152CPU - 256 - ResNet-50CPU - 32 - ResNet-152CPU - 1 - ResNet-50CPU - 16 - ResNet-50CPU - 512 - ResNet-152CPU - 64 - ResNet-50CPU - 512 - ResNet-50CPU - 1 - ResNet-152CPU - 32 - ResNet-50CPU - 1 - Efficientnet_v2_lCPU - 64 - ResNet-152CPU - 64 - Efficientnet_v2_lCPU - 16 - Efficientnet_v2_lCPU - 512 - Efficientnet_v2_lCPU - 256 - Efficientnet_v2_lCPU - 32 - Efficientnet_v2_l

pytorch epycpytorch: CPU - 512 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_lpytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 64 - ResNet-152pytorch: CPU - 512 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 16 - ResNet-152pytorch: CPU - 32 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 1 - ResNet-152pytorch: CPU - 16 - ResNet-50pytorch: CPU - 256 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 1 - ResNet-50abc6.046.046.046.056.0614.4414.5314.5614.5314.519.6216.5236.2136.2536.5137.0237.0145.116.036.056.036.056.0614.4414.4314.3414.6514.719.5716.6536.6736.9036.6836.7936.7745.556.036.046.056.076.0514.3714.3614.6414.3914.589.5716.6036.6936.6236.8436.6936.8744.95OpenBenchmarking.org

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lacb2468106.046.036.03MIN: 5.54 / MAX: 6.15MIN: 5.59 / MAX: 6.17MIN: 5.54 / MAX: 6.13

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lbca2468106.056.046.04MIN: 5.61 / MAX: 6.15MIN: 5.63 / MAX: 6.15MIN: 5.58 / MAX: 6.17

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lcab2468106.056.046.03MIN: 5.66 / MAX: 6.17MIN: 5.5 / MAX: 6.18MIN: 5.51 / MAX: 6.12

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lcba2468106.076.056.05MIN: 5.68 / MAX: 6.2MIN: 5.64 / MAX: 6.18MIN: 5.61 / MAX: 6.17

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lbac2468106.066.066.05MIN: 5.53 / MAX: 6.16MIN: 5.47 / MAX: 6.19MIN: 5.5 / MAX: 6.15

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152bac4812162014.4414.4414.37MIN: 14.35 / MAX: 14.54MIN: 14.22 / MAX: 14.53MIN: 14.15 / MAX: 14.49

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152abc4812162014.5314.4314.36MIN: 14.35 / MAX: 14.65MIN: 14.28 / MAX: 14.52MIN: 14.17 / MAX: 14.45

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152cab4812162014.6414.5614.34MIN: 14.42 / MAX: 14.74MIN: 14.33 / MAX: 14.67MIN: 14.17 / MAX: 14.43

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152bac4812162014.6514.5314.39MIN: 14.51 / MAX: 14.75MIN: 14.32 / MAX: 14.66MIN: 14.21 / MAX: 14.48

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152bca4812162014.7114.5814.51MIN: 14.57 / MAX: 14.79MIN: 14.47 / MAX: 14.67MIN: 14.3 / MAX: 14.61

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lacb36912159.629.579.57MIN: 9.53 / MAX: 9.7MIN: 9.45 / MAX: 9.67MIN: 9.45 / MAX: 9.69

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152bca4812162016.6516.6016.52MIN: 16.51 / MAX: 16.78MIN: 16.48 / MAX: 16.74MIN: 16.02 / MAX: 16.68

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50cba81624324036.6936.6736.21MIN: 35.59 / MAX: 37.29MIN: 35.64 / MAX: 37.06MIN: 35.15 / MAX: 36.78

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50bca81624324036.9036.6236.25MIN: 35.68 / MAX: 37.36MIN: 35.48 / MAX: 37.15MIN: 35.17 / MAX: 36.6

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50cba81624324036.8436.6836.51MIN: 35.86 / MAX: 37.25MIN: 35.58 / MAX: 37.12MIN: 34.81 / MAX: 36.88

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50abc91827364537.0236.7936.69MIN: 35.43 / MAX: 37.51MIN: 35.89 / MAX: 37.3MIN: 35.61 / MAX: 37.08

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50acb91827364537.0136.8736.77MIN: 36.16 / MAX: 37.46MIN: 35.68 / MAX: 37.32MIN: 35.54 / MAX: 37.27

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50bac102030405045.5545.1144.95MIN: 44.21 / MAX: 46.24MIN: 43.89 / MAX: 45.82MIN: 44.04 / MAX: 45.47