Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs.

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

Use with caution this test profile is currently marked Deprecated.

Project Site

caffe.berkeleyvision.org

Test Created

1 August 2016

Last Updated

27 September 2020

Test Maintainer

Athenas Jimenez

Test Type

Average Install Time

1 Second

Average Run Time

24 Minutes, 34 Seconds

Test Dependencies

C/C++ Compiler Toolchain + CMake + Python + BLAS (Basic Linear Algebra Sub-Routine) + C++ Boost + Linear Algebra Pack + Snappy Compression + GFlags + OpenCV + HDF5

Accolades

40k+ Downloads

Supported Platforms

* 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 24 November 2024.

Revision History

system/caffe-1.0.1 [View Source] Sun, 27 Sep 2020 14:38:11 GMT
Deprecate test profile.

system/caffe-1.0.0 [View Source] Mon, 01 Aug 2016 16:33:39 GMT
Initial commit of system caffe test.

Performance Metrics

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