PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing.

To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark pytorch.

Performance Metrics

PyTorch 2.1

Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l

OpenBenchmarking.org metrics for this test profile configuration based on 82 public results since 16 November 2023 with the latest data as of 5 December 2023.

Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.

Based on OpenBenchmarking.org data, the selected test / test configuration (PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l) has an average run-time of 23 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.

Tested CPU Architectures

This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.