BENCHMARK

PyTorch MPS ResNet train

PYTHON · pytorch_mps · samples/s. Higher is better. Run on AC and battery.

View methodology
DISCIPLINE: PYTHONTOOL: pytorch_mpsFIELD: train_resnet_samples_per_sUNIT: samples/sDIRECTION:↑HIGHER IS BETTERMODE: AC + BATTERYBPR ELIGIBLE

What this measures

PyTorch MPS ResNet train measures Python compute performance via pytorch_mps. Higher scores indicate better Python compute throughput. We run this benchmark twice per device: once on AC and once unplugged. The BPR ratio (battery ÷ AC) appears in the rightmost column. This test contributes to the device's BPR score.

Read the full methodology for tool versions, run order, and exclusion rules.

No measurements yet

No products have been scored on PyTorch MPS ResNet train yet. This page populates as new reviews are published. Check back after the next review ships, or read the methodology for what this benchmark captures.

How we test

View the GlitchTech methodology →