pytorch icelake

Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2311164-NE-PYTORCHIC86.

pytorch icelakeProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionabcIntel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)Dell 06CDVY (1.0.9 BIOS)Intel Ice Lake-LP DRAM16GBToshiba KBG40ZPZ512G NVMe 512GBIntel Iris Plus ICL GT2 16GB (1100MHz)Realtek ALC289Intel Ice Lake-LP PCH CNVi WiFiUbuntu 23.046.2.0-35-generic (x86_64)GNOME Shell 44.3X Server + Wayland4.6 Mesa 23.0.4-0ubuntu1~23.04.1OpenCL 3.0GCC 12.3.0ext41920x1200OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseProcessor Details- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xbc - Thermald 2.5.2 Python Details- Python 3.11.4Security Details- gather_data_sampling: Mitigation of Microcode + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

pytorch icelakepytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 16 - ResNet-50pytorch: CPU - 16 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 512 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-152pytorch: CPU - 1 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 256 - Efficientnet_v2_lpytorch: CPU - 512 - Efficientnet_v2_labc20.968.498.893.648.588.003.463.514.552.472.422.4421.766.367.763.368.398.343.363.394.402.412.412.4421.428.568.903.428.138.343.393.404.382.402.412.42OpenBenchmarking.org

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50abc51015202520.9621.7621.42MIN: 16.4 / MAX: 22.22MIN: 17.9 / MAX: 22.71MIN: 18.9 / MAX: 22.08

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152abc2468108.496.368.56MIN: 6.35 / MAX: 9.32MIN: 5.69 / MAX: 9.22MIN: 7.47 / MAX: 9.14

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50abc2468108.897.768.90MIN: 8.06 / MAX: 10.08MIN: 7.29 / MAX: 9.67MIN: 7.69 / MAX: 10.29

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152abc0.8191.6382.4573.2764.0953.643.363.42MIN: 3.31 / MAX: 4.51MIN: 3.25 / MAX: 4.17MIN: 3.26 / MAX: 4.14

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-50abc2468108.588.398.13MIN: 6.92 / MAX: 10.34MIN: 7.8 / MAX: 9.76MIN: 6.05 / MAX: 9.53

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-50abc2468108.008.348.34MIN: 7.22 / MAX: 8.96MIN: 7.45 / MAX: 9.54MIN: 7.74 / MAX: 9.75

PyTorch

Device: CPU - Batch Size: 256 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: ResNet-152abc0.77851.5572.33553.1143.89253.463.363.39MIN: 3.03 / MAX: 4.01MIN: 3.23 / MAX: 4.14MIN: 3.18 / MAX: 4.19

PyTorch

Device: CPU - Batch Size: 512 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: ResNet-152abc0.78981.57962.36943.15923.9493.513.393.40MIN: 2.9 / MAX: 4.19MIN: 3.19 / MAX: 4.18MIN: 3.26 / MAX: 4.12

PyTorch

Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_labc1.02382.04763.07144.09525.1194.554.404.38MIN: 4.07 / MAX: 6.31MIN: 4.2 / MAX: 6.5MIN: 3.81 / MAX: 6.1

PyTorch

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

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_labc0.55581.11161.66742.22322.7792.472.412.40MIN: 2.2 / MAX: 3.04MIN: 2.19 / MAX: 2.95MIN: 2.22 / MAX: 3

PyTorch

Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_labc0.54451.0891.63352.1782.72252.422.412.41MIN: 2.23 / MAX: 2.98MIN: 1.7 / MAX: 2.99MIN: 2.23 / MAX: 3.06

PyTorch

Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_labc0.5491.0981.6472.1962.7452.442.442.42MIN: 2.24 / MAX: 3.22MIN: 2.27 / MAX: 3.04MIN: 2.18 / MAX: 3

Phoronix Test Suite v10.8.4