pytorch001

AMD Ryzen Threadripper PRO 7965WX 24-Cores testing with a ASUS Pro WS WRX90E-SAGE SE (0404 BIOS) and NVIDIA GeForce RTX 4090 24GB 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 2403301-NE-PYTORCH0019
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test001
March 30
  21 Minutes
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test001

Processor: AMD Ryzen Threadripper PRO 7965WX 24-Cores @ 7.30GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX90E-SAGE SE (0404 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Sabrent SB-ROCKET-NVMe4-2TB + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA Device 22ba, Monitor: DELL U2723QE, Network: 2 x Intel X710 for 10GBASE-T

OS: Ubuntu 22.04, Kernel: 6.5.0-26-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 545.23.08, Compiler: GCC 11.4.0 + CUDA 12.3, File-System: ext4, Screen Resolution: 4480x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - CPU Microcode: 0xa108105
Python Notes: Python 3.11.8
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 + 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

pytorch001OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper PRO 7965WX 24-Cores @ 7.30GHz (24 Cores / 48 Threads)ASUS Pro WS WRX90E-SAGE SE (0404 BIOS)AMD Device 14a4128GB2000GB Sabrent SB-ROCKET-NVMe4-2TB + 0GB Virtual HDisk0NVIDIA GeForce RTX 4090 24GBNVIDIA Device 22baDELL U2723QE2 x Intel X710 for 10GBASE-TUbuntu 22.046.5.0-26-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4NVIDIA 545.23.08GCC 11.4.0 + CUDA 12.3ext44480x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionPytorch001 BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate-epp powersave (EPP: performance) - CPU Microcode: 0xa108105- Python 3.11.8- 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

pytorch001pytorch: CPU - 32 - ResNet-50pytorch: CPU - 32 - ResNet-152pytorch: CPU - 32 - Efficientnet_v2_lpytorch: NVIDIA CUDA GPU - 32 - ResNet-50pytorch: NVIDIA CUDA GPU - 32 - ResNet-152pytorch: NVIDIA CUDA GPU - 32 - Efficientnet_v2_ltest00146.0017.849.92364.38132.7866.63OpenBenchmarking.org

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-50test0011020304050SE +/- 0.09, N = 346.00MIN: 40.27 / MAX: 46.99

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: ResNet-152test00148121620SE +/- 0.12, N = 317.84MIN: 17.03 / MAX: 18.28

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_ltest0013691215SE +/- 0.00, N = 39.92MIN: 8.18 / MAX: 10.32

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50test00180160240320400SE +/- 0.60, N = 3364.38MIN: 330.44 / MAX: 371.21

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152test001306090120150SE +/- 1.16, N = 3132.78MIN: 114.16 / MAX: 136.93

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_ltest0011530456075SE +/- 0.60, N = 366.63MIN: 56.43 / MAX: 68.66

test001

Processor: AMD Ryzen Threadripper PRO 7965WX 24-Cores @ 7.30GHz (24 Cores / 48 Threads), Motherboard: ASUS Pro WS WRX90E-SAGE SE (0404 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Sabrent SB-ROCKET-NVMe4-2TB + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: NVIDIA Device 22ba, Monitor: DELL U2723QE, Network: 2 x Intel X710 for 10GBASE-T

OS: Ubuntu 22.04, Kernel: 6.5.0-26-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 545.23.08, Compiler: GCC 11.4.0 + CUDA 12.3, File-System: ext4, Screen Resolution: 4480x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: performance) - CPU Microcode: 0xa108105
Python Notes: Python 3.11.8
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 + 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

Testing initiated at 30 March 2024 20:01 by user yong.