test

test

HTML result view exported from: https://openbenchmarking.org/result/2406288-NE-TEST3194069&grr.

testProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay DriverVulkanCompilerFile-SystemScreen ResolutionSystem LayertestIntel Xeon E5-2667 v3 (4 Cores / 8 Threads)Blade Shadow ShadowM v2.0 (1.1.3 BIOS)Intel 82G33/G31/P35/P31 + ICH91 x 12GB RAM-2400MT/s Blade BY6AC7GG3YUV52-751215GB QEMU HDDRed Hat QXL paravirtual graphic card 8GBRed Hat Virtio deviceUbuntu 22.045.15.0-113-generic (x86_64)NVIDIA1.3.277GCC 11.4.0ext41280x800KVMOpenBenchmarking.org- Transparent Huge Pages: madvise- CPU Microcode: 0x49- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Mitigation of PTE Inversion + mds: Mitigation of Clear buffers; SMT Host state unknown + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT Host state unknown + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + 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

testpytorch: CPU - 16 - ResNet-50pytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 16 - ResNet-152test11.193.074.63OpenBenchmarking.org

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-50test3691215SE +/- 0.08, N = 1211.19MIN: 9.06 / MAX: 11.59

PyTorch

Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_ltest0.69081.38162.07242.76323.454SE +/- 0.01, N = 33.07MIN: 2.75 / MAX: 3.12

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 16 - Model: ResNet-152test1.04182.08363.12544.16725.209SE +/- 0.01, N = 34.63MIN: 4.36 / MAX: 4.7

Phoronix Test Suite v10.8.4