NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work.

This test profile requires you have already signed into the NVIDIA GPU Cloud (https://ngc.nvidia.com/) via Docker on this system/user (via docker login nvcr.io) in order for this test profile to work.

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

Use with caution this test profile is currently marked Experimental.

Performance Metrics

NVIDIA GPU Cloud TensorFlow 18.09

Test: Inception v4, FP16

OpenBenchmarking.org metrics for this test profile configuration based on 55 public results since 7 October 2018 with the latest data as of 11 February 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 (NVIDIA GPU Cloud TensorFlow 18.09 - Test: Inception v4, FP16) has an average run-time of 6 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.

Recent Test Results