Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
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phoronix-test-suite benchmark 2403267-PTS-PYTORCH238 pytorch 2.2 raptor lake - Phoronix Test Suite pytorch 2.2 raptor lake Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2403267-PTS-PYTORCH238&sor&grt .
pytorch 2.2 raptor lake Processor Motherboard Chipset Memory Disk Graphics Audio Monitor OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b c Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads) ASUS PRIME Z790-P WIFI (1402 BIOS) Intel Device 7a27 2 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36 Western Digital WD_BLACK SN850X 1000GB ASUS Intel RPL-S 31GB (1650MHz) Realtek ALC897 ASUS VP28U Ubuntu 23.10 6.8.0-phx (x86_64) GNOME Shell 45.1 X Server 1.21.1.7 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa) GCC 13.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x122 - Thermald 2.5.4 Python Details - Python 3.11.6 Security Details - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + 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 Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
pytorch 2.2 raptor lake pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l pytorch: CPU - 512 - Efficientnet_v2_l a b c 71.81 28.55 42.97 43.57 43.57 16.82 43.62 15.76 39.63 16.86 16.87 16.81 12.93 8.54 11.38 8.65 11.15 11.07 57.46 28.35 44.23 43.69 38.83 16.83 42.96 16.66 38.43 16.71 16.79 14.67 13.00 11.46 10.36 11.62 11.53 8.64 57.44 28.47 43.55 39.10 42.44 16.82 43.70 16.85 43.51 16.86 16.80 14.82 13.02 11.43 9.69 10.40 11.47 11.54 OpenBenchmarking.org
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b c 16 32 48 64 80 71.81 57.46 57.44 MIN: 70.12 / MAX: 72.04 MIN: 56.35 / MAX: 68.07 MIN: 56.19 / MAX: 58.2
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a c b 7 14 21 28 35 28.55 28.47 28.35 MIN: 27.88 / MAX: 28.63 MIN: 28 / MAX: 28.54 MIN: 28 / MAX: 28.43
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 b c a 10 20 30 40 50 44.23 43.55 42.97 MIN: 9.75 / MAX: 45.13 MIN: 9.79 / MAX: 45.11 MIN: 9.78 / MAX: 44.95
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 b a c 10 20 30 40 50 43.69 43.57 39.10 MIN: 10 / MAX: 44.93 MIN: 10.28 / MAX: 45.23 MIN: 38.31 / MAX: 39.18
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a c b 10 20 30 40 50 43.57 42.44 38.83 MIN: 9.83 / MAX: 45.65 MIN: 10.09 / MAX: 44.94 MIN: 9.43 / MAX: 42.63
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 b c a 4 8 12 16 20 16.83 16.82 16.82 MIN: 6.26 / MAX: 17.61 MIN: 6.29 / MAX: 17.63 MIN: 5.94 / MAX: 17.56
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 c a b 10 20 30 40 50 43.70 43.62 42.96 MIN: 10.24 / MAX: 45.38 MIN: 10.53 / MAX: 45.39 MIN: 11.33 / MAX: 44.99
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 c b a 4 8 12 16 20 16.85 16.66 15.76 MIN: 5.47 / MAX: 17.6 MIN: 6.55 / MAX: 17.53 MIN: 5.85 / MAX: 17.62
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 c a b 10 20 30 40 50 43.51 39.63 38.43 MIN: 10.48 / MAX: 45.09 MIN: 11.63 / MAX: 44.96 MIN: 9.91 / MAX: 43.83
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 c a b 4 8 12 16 20 16.86 16.86 16.71 MIN: 6.25 / MAX: 17.63 MIN: 7.09 / MAX: 17.62 MIN: 6.13 / MAX: 17.52
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 a c b 4 8 12 16 20 16.87 16.80 16.79 MIN: 6.32 / MAX: 17.66 MIN: 6.4 / MAX: 17.6 MIN: 6.54 / MAX: 17.58
PyTorch Device: CPU - Batch Size: 512 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 a c b 4 8 12 16 20 16.81 14.82 14.67 MIN: 6.53 / MAX: 17.63 MIN: 5.9 / MAX: 17.52 MIN: 5.69 / MAX: 15.6
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l c b a 3 6 9 12 15 13.02 13.00 12.93 MIN: 4.51 / MAX: 17.18 MIN: 3.43 / MAX: 17.41 MIN: 4.5 / MAX: 16.83
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l b c a 3 6 9 12 15 11.46 11.43 8.54 MIN: 5.04 / MAX: 11.96 MIN: 4.47 / MAX: 11.86 MIN: 4.87 / MAX: 8.84
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b c 3 6 9 12 15 11.38 10.36 9.69 MIN: 5.03 / MAX: 11.89 MIN: 4.64 / MAX: 10.76 MIN: 5.03 / MAX: 11.97
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l b c a 3 6 9 12 15 11.62 10.40 8.65 MIN: 4.95 / MAX: 12.01 MIN: 4.47 / MAX: 10.8 MIN: 4.77 / MAX: 8.82
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l b c a 3 6 9 12 15 11.53 11.47 11.15 MIN: 4.97 / MAX: 12 MIN: 4.87 / MAX: 11.96 MIN: 4.59 / MAX: 11.97
PyTorch Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l c a b 3 6 9 12 15 11.54 11.07 8.64 MIN: 4.96 / MAX: 11.96 MIN: 4.44 / MAX: 11.86 MIN: 4.69 / MAX: 8.91
Phoronix Test Suite v10.8.5