pytorch emerald rapids Tests for a future article. 2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2403263-NE-PYTORCHEM45&grr&sor .
pytorch emerald rapids Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Desktop Display Server Compiler File-System Screen Resolution a b 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads) Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) Intel Device 1bce 1008GB 3201GB Micron_7450_MTFDKCC3T2TFS ASPEED 2 x Intel X710 for 10GBASE-T Ubuntu 23.10 6.6.0-rc5-phx-patched (x86_64) GNOME Shell 45.0 X Server 1.21.1.7 GCC 13.2.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x21000161 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 + 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 emerald rapids pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 512 - ResNet-152 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 512 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 1 - ResNet-50 a b 16.98 17.36 17.31 17.00 17.91 19.17 41.61 43.42 44.48 43.24 43.13 49.74 17.69 17.38 17.52 17.59 17.39 19.53 42.98 44.75 43.30 44.76 44.87 48.46 OpenBenchmarking.org
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 a 4 8 12 16 20 17.69 16.98 MIN: 12.47 / MAX: 18.03 MIN: 8.88 / MAX: 17.73
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 b a 4 8 12 16 20 17.38 17.36 MIN: 9.17 / MAX: 17.74 MIN: 13.87 / MAX: 17.68
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 b a 4 8 12 16 20 17.52 17.31 MIN: 8.47 / MAX: 17.81 MIN: 7.61 / MAX: 17.66
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 b a 4 8 12 16 20 17.59 17.00 MIN: 7.39 / MAX: 17.91 MIN: 6.37 / MAX: 17.5
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 b 4 8 12 16 20 17.91 17.39 MIN: 6.7 / MAX: 18.43 MIN: 8.92 / MAX: 17.83
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 b a 5 10 15 20 25 19.53 19.17 MIN: 6.21 / MAX: 20.18 MIN: 11.32 / MAX: 19.93
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 b a 10 20 30 40 50 42.98 41.61 MIN: 18.82 / MAX: 44.16 MIN: 21.64 / MAX: 43.52
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 b a 10 20 30 40 50 44.75 43.42 MIN: 15.82 / MAX: 46.04 MIN: 40.39 / MAX: 44.48
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 a b 10 20 30 40 50 44.48 43.30 MIN: 19.94 / MAX: 45.71 MIN: 18.44 / MAX: 45.93
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 b a 10 20 30 40 50 44.76 43.24 MIN: 21.38 / MAX: 45.97 MIN: 40.07 / MAX: 44.05
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 10 20 30 40 50 44.87 43.13 MIN: 37.26 / MAX: 46.02 MIN: 21.59 / MAX: 44.07
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 11 22 33 44 55 49.74 48.46 MIN: 20.74 / MAX: 51.83 MIN: 22.49 / MAX: 51.23
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