pytorch_all_l

AMD Ryzen 9 5900X 12-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS) and MSI NVIDIA GeForce RTX 3080 10GB 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 2312292-NE-PYTORCHAL51
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pytorch_all
December 29 2023
  3 Hours, 37 Minutes
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pytorch_all

Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DDR4-2666MT/s CRUCIAL, Disk: 1000GB Western Digital WDS100T2B0C-00PXH0, Graphics: MSI NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA GA102 HD Audio, Monitor: LG TV, Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200

OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.129.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.147, Vulkan: 1.3.242, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 5120x2880

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.10.12
Security Notes: 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 no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pytorch_all_lOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads)ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS)AMD Starship/Matisse4 x 16 GB DDR4-2666MT/s CRUCIAL1000GB Western Digital WDS100T2B0C-00PXH0MSI NVIDIA GeForce RTX 3080 10GBNVIDIA GA102 HD AudioLG TVRealtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200Ubuntu 22.046.2.0-39-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4NVIDIA 535.129.034.6.0OpenCL 3.0 CUDA 12.2.1471.3.242GCC 11.4.0 + CUDA 11.5ext45120x2880ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionPytorch_all_l BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009 - Python 3.10.12- 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 no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

pytorch_all_lpytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 16 - ResNet-50pytorch: CPU - 32 - ResNet-50pytorch: CPU - 64 - ResNet-50pytorch: CPU - 16 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 32 - ResNet-152pytorch: CPU - 512 - ResNet-50pytorch: CPU - 64 - ResNet-152pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_lpytorch: CPU - 512 - Efficientnet_v2_lpytorch_all37.3714.4526.6526.7826.2111.1323.3311.1626.3511.1011.2411.089.216.506.506.486.576.53OpenBenchmarking.org

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50pytorch_all918273645SE +/- 0.26, N = 337.37MIN: 31.52 / MAX: 38.8

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152pytorch_all48121620SE +/- 0.12, N = 914.45MIN: 13.01 / MAX: 15.49

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50pytorch_all612182430SE +/- 0.45, N = 1526.65MIN: 20.59 / MAX: 29.47

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50pytorch_all612182430SE +/- 0.42, N = 1526.78MIN: 20.17 / MAX: 28.27

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50pytorch_all612182430SE +/- 0.59, N = 1526.21MIN: 19.72 / MAX: 29.44

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152pytorch_all3691215SE +/- 0.04, N = 311.13MIN: 10.87 / MAX: 11.26

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50pytorch_all612182430SE +/- 0.24, N = 323.33MIN: 19.48 / MAX: 24.45

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152pytorch_all3691215SE +/- 0.05, N = 311.16MIN: 9.15 / MAX: 11.32

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50pytorch_all612182430SE +/- 0.52, N = 1526.35MIN: 19.72 / MAX: 28.69

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152pytorch_all3691215SE +/- 0.03, N = 311.10MIN: 10.21 / MAX: 11.22

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152pytorch_all3691215SE +/- 0.13, N = 311.24MIN: 9.07 / MAX: 11.69

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152pytorch_all3691215SE +/- 0.03, N = 311.08MIN: 10.89 / MAX: 11.21

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lpytorch_all3691215SE +/- 0.02, N = 39.21MIN: 8.59 / MAX: 9.29

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lpytorch_all246810SE +/- 0.01, N = 36.50MIN: 6.4 / MAX: 6.56

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lpytorch_all246810SE +/- 0.01, N = 36.50MIN: 6.23 / MAX: 6.56

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lpytorch_all246810SE +/- 0.02, N = 36.48MIN: 6.23 / MAX: 6.56

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_lpytorch_all246810SE +/- 0.05, N = 36.57MIN: 5.81 / MAX: 6.71

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_lpytorch_all246810SE +/- 0.03, N = 36.53MIN: 5.82 / MAX: 6.94

pytorch_all

Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DDR4-2666MT/s CRUCIAL, Disk: 1000GB Western Digital WDS100T2B0C-00PXH0, Graphics: MSI NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA GA102 HD Audio, Monitor: LG TV, Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200

OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.129.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.147, Vulkan: 1.3.242, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 5120x2880

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009
Python Notes: Python 3.10.12
Security Notes: 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 no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 29 December 2023 16:09 by user root.