AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 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 2311161-NE-PYTORCHEP15 pytorch epyc - Phoronix Test Suite pytorch epyc AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2311161-NE-PYTORCHEP15&rdt&grt .
pytorch epyc Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Desktop Display Server Compiler File-System Screen Resolution a b c AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads) AMD Cinnabar (RCB1009C BIOS) AMD Device 14a4 192GB 800GB Micron_7450_MTFDKBA800TFS ASPEED 2 x Broadcom NetXtreme BCM5720 PCIe Ubuntu 23.10 6.5.0-5-generic (x86_64) GNOME Shell 45.0 X Server 1.21.1.7 GCC 13.2.0 ext4 640x480 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xaa00212 Python Details - Python 3.11.5 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: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
pytorch epyc 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 45.11 16.52 36.21 37.01 36.51 14.53 36.25 14.51 37.02 14.44 14.56 14.53 9.62 6.05 6.06 6.04 6.04 6.04 45.55 16.65 36.67 36.77 36.68 14.65 36.90 14.71 36.79 14.44 14.34 14.43 9.57 6.05 6.06 6.03 6.05 6.03 44.95 16.60 36.69 36.87 36.84 14.39 36.62 14.58 36.69 14.37 14.64 14.36 9.57 6.07 6.05 6.05 6.04 6.03 OpenBenchmarking.org
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 10 20 30 40 50 45.11 45.55 44.95 MIN: 43.89 / MAX: 45.82 MIN: 44.21 / MAX: 46.24 MIN: 44.04 / MAX: 45.47
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 4 8 12 16 20 16.52 16.65 16.60 MIN: 16.02 / MAX: 16.68 MIN: 16.51 / MAX: 16.78 MIN: 16.48 / MAX: 16.74
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 8 16 24 32 40 36.21 36.67 36.69 MIN: 35.15 / MAX: 36.78 MIN: 35.64 / MAX: 37.06 MIN: 35.59 / MAX: 37.29
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b c 9 18 27 36 45 37.01 36.77 36.87 MIN: 36.16 / MAX: 37.46 MIN: 35.54 / MAX: 37.27 MIN: 35.68 / MAX: 37.32
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b c 8 16 24 32 40 36.51 36.68 36.84 MIN: 34.81 / MAX: 36.88 MIN: 35.58 / MAX: 37.12 MIN: 35.86 / MAX: 37.25
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 4 8 12 16 20 14.53 14.65 14.39 MIN: 14.32 / MAX: 14.66 MIN: 14.51 / MAX: 14.75 MIN: 14.21 / MAX: 14.48
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 8 16 24 32 40 36.25 36.90 36.62 MIN: 35.17 / MAX: 36.6 MIN: 35.68 / MAX: 37.36 MIN: 35.48 / MAX: 37.15
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a b c 4 8 12 16 20 14.51 14.71 14.58 MIN: 14.3 / MAX: 14.61 MIN: 14.57 / MAX: 14.79 MIN: 14.47 / MAX: 14.67
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 9 18 27 36 45 37.02 36.79 36.69 MIN: 35.43 / MAX: 37.51 MIN: 35.89 / MAX: 37.3 MIN: 35.61 / MAX: 37.08
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 a b c 4 8 12 16 20 14.44 14.44 14.37 MIN: 14.22 / MAX: 14.53 MIN: 14.35 / MAX: 14.54 MIN: 14.15 / MAX: 14.49
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 4 8 12 16 20 14.56 14.34 14.64 MIN: 14.33 / MAX: 14.67 MIN: 14.17 / MAX: 14.43 MIN: 14.42 / MAX: 14.74
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 4 8 12 16 20 14.53 14.43 14.36 MIN: 14.35 / MAX: 14.65 MIN: 14.28 / MAX: 14.52 MIN: 14.17 / MAX: 14.45
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 3 6 9 12 15 9.62 9.57 9.57 MIN: 9.53 / MAX: 9.7 MIN: 9.45 / MAX: 9.69 MIN: 9.45 / MAX: 9.67
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 2 4 6 8 10 6.05 6.05 6.07 MIN: 5.61 / MAX: 6.17 MIN: 5.64 / MAX: 6.18 MIN: 5.68 / MAX: 6.2
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b c 2 4 6 8 10 6.06 6.06 6.05 MIN: 5.47 / MAX: 6.19 MIN: 5.53 / MAX: 6.16 MIN: 5.5 / MAX: 6.15
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l a b c 2 4 6 8 10 6.04 6.03 6.05 MIN: 5.5 / MAX: 6.18 MIN: 5.51 / MAX: 6.12 MIN: 5.66 / MAX: 6.17
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 2 4 6 8 10 6.04 6.05 6.04 MIN: 5.58 / MAX: 6.17 MIN: 5.61 / MAX: 6.15 MIN: 5.63 / MAX: 6.15
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 2 4 6 8 10 6.04 6.03 6.03 MIN: 5.54 / MAX: 6.15 MIN: 5.54 / MAX: 6.13 MIN: 5.59 / MAX: 6.17
Phoronix Test Suite v10.8.4