5xa5000kw-dl580-3-4-pytorch-batchsize512

KVM testing on Ubuntu 24.04 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 2410077-NE-5XA5000KW77
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
5x a5000kw dl580-3-4 PyTorch Batch size=512
October 07
  16 Minutes


5xa5000kw-dl580-3-4-pytorch-batchsize512OpenBenchmarking.orgPhoronix Test Suite4 x Intel Xeon E7-4880 v2 (60 Cores / 120 Threads)QEMU Standard PC (Q35 + ICH9 2009) (edk2-20240813-1.fc40 BIOS)Intel 82G33/G31/P35/P31 + ICH916 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 16 GB + 4 GB RAM21GB VIRTUAL-DISKRed Hat QXL paravirtual graphic card 22GBQEMU Generic2 x Red Hat Virtio 1.0 deviceUbuntu 24.046.8.0-45-generic (x86_64)X ServerNVIDIAOpenCL 3.0 CUDA 12.4.131GCC 13.2.0 + CUDA 12.0ext41024x768KVMProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverOpenCLCompilerFile-SystemScreen ResolutionSystem Layer5xa5000kw-dl580-3-4-pytorch-batchsize512 BenchmarksSystem Logs- Transparent Huge Pages: madvise- CPU Microcode: 0x715- Python 3.12.3- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Mitigation of PTE Inversion; VMX: flush not necessary SMT vulnerable + mds: Mitigation of Clear buffers; SMT Host state unknown + meltdown: Mitigation of PTI + mmio_stale_data: Unknown: No mitigations + 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 Retpolines; IBPB: conditional; IBRS_FW; STIBP: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Retpoline + 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: 512 - Model: ResNet-505x a5000kw dl580-3-4 PyTorch Batch size=5123691215SE +/- 0.10, N = 49.06MIN: 7.35 / MAX: 10.17