nogaPytorchResults

AMD Ryzen 9 9950X 16-Core testing with a ASUS PRIME B650M-A II (3201 BIOS) and NVIDIA GeForce RTX 4060 Ti 16GB on Ubuntu 24.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2501235-NE-NOGAPYTOR33&grt.

nogaPytorchResultsProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen ResolutionptRun1AMD Ryzen 9 9950X 16-Core @ 5.75GHz (16 Cores / 32 Threads)ASUS PRIME B650M-A II (3201 BIOS)AMD Device 14d84 x 48GB DDR5-3600MT/s G Skill F5-6800J3446F48G2000GB Samsung SSD 980 PRO 2TBNVIDIA GeForce RTX 4060 Ti 16GBNVIDIA Device 22bd2 x Intel 10-Gigabit X540-AT2 + Realtek RTL8125 2.5GbEUbuntu 24.046.8.0-51-generic (x86_64)X Server 1.21.1.11NVIDIAGCC 13.3.0 + CUDA 12.4ext41920x1080OpenBenchmarking.org- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xb404023 - Python 3.12.3- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + 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; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

nogaPytorchResultspytorch: CPU - 64 - ResNet-50pytorch: NVIDIA CUDA GPU - 64 - ResNet-50ptRun152.79402.98OpenBenchmarking.org

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50ptRun11224364860SE +/- 0.21, N = 352.79MIN: 47.86 / MAX: 54

PyTorch

Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50ptRun190180270360450SE +/- 0.33, N = 3402.98MIN: 337.14 / MAX: 405.91

Phoronix Test Suite v10.8.5