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2 x AMD EPYC 7532 32-Core testing with a GIGABYTE MZ52-G41-00 v01000100 (R01 BIOS) and Gigabyte NVIDIA GeForce RTX 3090 24GB on Rocky Linux 8.4 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 2407265-NE-18639010227
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2 x AMD EPYC 7532 32-Core - Gigabyte NVIDIA GeForce
July 26
  6 Minutes
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18OpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 7532 32-Core @ 2.40GHz (64 Cores)GIGABYTE MZ52-G41-00 v01000100 (R01 BIOS)AMD Starship/Matisse512GB4001GB INTEL SSDPE2KX040T8Gigabyte NVIDIA GeForce RTX 3090 24GBNVIDIA GA102 HD Audio2 x Mellanox MT28800 + 2 x Intel I350Rocky Linux 8.44.18.0-477.10.1.el8_8.x86_64 (x86_64)X ServerNVIDIAGCC 8.5.0 20210514UNKNOWN (0x18031977)1024x768ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution18 BenchmarksSystem Logs- Transparent Huge Pages: always- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301038 - Python 3.8.17- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT disabled + 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 STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-502 x AMD EPYC 7532 32-Core - Gigabyte NVIDIA GeForce3691215SE +/- 0.10, N = 312.46MIN: 8.32 / MAX: 14.24

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-502 x AMD EPYC 7532 32-Core - Gigabyte NVIDIA GeForce306090120150SE +/- 0.37, N = 3147.83MIN: 93.83 / MAX: 151.88