AMD ZenDNN TensorFlow

AMD ZenDNN optimized version of TensorFlow with various AMD UIF models. For this test profile to work you must first download TF_v2.10_ZenDNN_v4.0_Python_v3.10.zip from https://www.amd.com/en/developer/zendnn.html and put it in your Phoronix Test Suite download cache.

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

Project Site

amd.com

Source Repository

github.com

Test Created

28 April 2023

Test Maintainer

Michael Larabel 

Test Type

System

Average Install Time

8 Seconds

Average Run Time

16 Minutes, 40 Seconds

Test Dependencies

Python + C/C++ Compiler Toolchain

Accolades

10k+ Downloads

Supported Platforms

Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page ViewsOpenBenchmarking.orgEventsAMD ZenDNN TensorFlow Popularity Statisticspts/zendnn-tensorflow2023.042023.052023.062023.072023.082023.092023.102023.112023.122024.012024.022024.032024.042024.052024.062024.072024.082024.092024.102024.112024.122004006008001000
* 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.
Data updated weekly as of 22 December 2024.

Revision History

pts/zendnn-tensorflow-1.0.0   [View Source]   Fri, 28 Apr 2023 08:51:42 GMT
Add AMD ZenDNN optimized TensorFlow


Performance Metrics

This test profile is too new - it does not have enough data available on OpenBenchmarking.org yet to provide any detailed metrics.