XNNPACK

XNNPACK is a Google library for high efficiency floating-point neural network inference operators across mobile / server / web use. XNNPACK is used by machine learning frameworks like TensorFlow, PyTorch, ONNX Runtime, MediaPipe, and others. This test profile uses XNNPACK with its end2end-bench benchmark and testing all available CPU threads.

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

Project Site

github.com

Source Repository

github.com

Test Created

11 August 2024

Test Maintainer

Michael Larabel 

Test Type

System

Test Dependencies

CMake + C/C++ Compiler Toolchain

Accolades

Recently Created Test Profile

Supported Platforms


Revision History

pts/xnnpack-1.0.0   [View Source]   Sun, 11 Aug 2024 10:34:29 GMT
Add XNNPACK benchmark.


Performance Metrics

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