This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark tensorflow.
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly. ** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform. *** Test profile page view reporting began March 2021. Data updated weekly as of 6 May 2024.
Revision History
pts/tensorflow-2.2.0 [View Source] Tue, 26 Mar 2024 13:32:06 GMT Update against TensorFlow 2.16.1 upstream.
pts/tensorflow-2.1.1 [View Source] Sat, 06 Jan 2024 17:48:46 GMT Add NVIDIA GPU CUDA option.
pts/tensorflow-2.1.0 [View Source] Tue, 28 Mar 2023 16:38:47 GMT Update against TensorFlow 2.12 upstream to work with newer distros / Python.
pts/tensorflow-2.0.0 [View Source] Fri, 07 Oct 2022 12:18:59 GMT Update this, get it going against TF 2.10 upstream...
pts/tensorflow-1.1.0 [View Source] Fri, 06 Mar 2020 07:23:10 GMT Rework test, increase max steps to 1000
pts/tensorflow-1.0.0 [View Source] Mon, 06 Feb 2017 18:08:28 GMT Initial commit of TensorFlow benchmark
OpenBenchmarking.org metrics for this test profile configuration based on 35 public results since 26 March 2024 with the latest data as of 28 March 2024.
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 (TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: VGG-16) has an average run-time of 2 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.
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