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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2311164-NE-PYTORCHIC86 pytorch icelake - Phoronix Test Suite 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&sro&grs .
pytorch icelake Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL OpenCL Compiler File-System Screen Resolution a b c Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads) Dell 06CDVY (1.0.9 BIOS) Intel Ice Lake-LP DRAM 16GB Toshiba KBG40ZPZ512G NVMe 512GB Intel Iris Plus ICL GT2 16GB (1100MHz) Realtek ALC289 Intel Ice Lake-LP PCH CNVi WiFi Ubuntu 23.04 6.2.0-35-generic (x86_64) GNOME Shell 44.3 X Server + Wayland 4.6 Mesa 23.0.4-0ubuntu1~23.04.1 OpenCL 3.0 GCC 12.3.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xbc - Thermald 2.5.2 Python Details - Python 3.11.4 Security 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 icelake pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 512 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l a b c 8.49 8.89 3.64 8.58 8.00 4.55 20.96 3.51 3.46 2.47 2.44 2.42 6.36 7.76 3.36 8.39 8.34 4.40 21.76 3.39 3.36 2.41 2.44 2.41 8.56 8.90 3.42 8.13 8.34 4.38 21.42 3.40 3.39 2.40 2.42 2.41 OpenBenchmarking.org
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a b c 2 4 6 8 10 8.49 6.36 8.56 MIN: 6.35 / MAX: 9.32 MIN: 5.69 / MAX: 9.22 MIN: 7.47 / MAX: 9.14
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b c 2 4 6 8 10 8.89 7.76 8.90 MIN: 8.06 / MAX: 10.08 MIN: 7.29 / MAX: 9.67 MIN: 7.69 / MAX: 10.29
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a b c 0.819 1.638 2.457 3.276 4.095 3.64 3.36 3.42 MIN: 3.31 / MAX: 4.51 MIN: 3.25 / MAX: 4.17 MIN: 3.26 / MAX: 4.14
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 a b c 2 4 6 8 10 8.58 8.39 8.13 MIN: 6.92 / MAX: 10.34 MIN: 7.8 / MAX: 9.76 MIN: 6.05 / MAX: 9.53
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 a b c 2 4 6 8 10 8.00 8.34 8.34 MIN: 7.22 / MAX: 8.96 MIN: 7.45 / MAX: 9.54 MIN: 7.74 / MAX: 9.75
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a b c 1.0238 2.0476 3.0714 4.0952 5.119 4.55 4.40 4.38 MIN: 4.07 / MAX: 6.31 MIN: 4.2 / MAX: 6.5 MIN: 3.81 / MAX: 6.1
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 5 10 15 20 25 20.96 21.76 21.42 MIN: 16.4 / MAX: 22.22 MIN: 17.9 / MAX: 22.71 MIN: 18.9 / MAX: 22.08
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 a b c 0.7898 1.5796 2.3694 3.1592 3.949 3.51 3.39 3.40 MIN: 2.9 / MAX: 4.19 MIN: 3.19 / MAX: 4.18 MIN: 3.26 / MAX: 4.12
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 a b c 0.7785 1.557 2.3355 3.114 3.8925 3.46 3.36 3.39 MIN: 3.03 / MAX: 4.01 MIN: 3.23 / MAX: 4.14 MIN: 3.18 / MAX: 4.19
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a b c 0.5558 1.1116 1.6674 2.2232 2.779 2.47 2.41 2.40 MIN: 2.2 / MAX: 3.04 MIN: 2.19 / MAX: 2.95 MIN: 2.22 / MAX: 3
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l a b c 0.549 1.098 1.647 2.196 2.745 2.44 2.44 2.42 MIN: 2.24 / MAX: 3.22 MIN: 2.27 / MAX: 3.04 MIN: 2.18 / MAX: 3
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l a b c 0.5445 1.089 1.6335 2.178 2.7225 2.42 2.41 2.41 MIN: 2.23 / MAX: 2.98 MIN: 1.7 / MAX: 2.99 MIN: 2.23 / MAX: 3.06
Phoronix Test Suite v10.8.4