oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the oneAPI initiative.

Learn more about this test at the upstream project site: github.com.

This utility test is maintained by Michael Larabel. This OpenBenchmarking.org test profile was created on 17 June 2020. To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark onednn.

This test has an average install time of 6 minutes, 26 seconds and an average run-time of 2 minutes, 7 seconds.

Performance Metrics

Analyze Test Configuration:

oneDNN 1.5

Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 330 public samples since 17 June 2020 with the latest data as of 16 September 2020.

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.

Component
Percentile Rank
ms (Average)
Mid-Tier
75th
> 2.7
Median
50th
4.8
Low-Tier
25th
> 8.9
OpenBenchmarking.orgDistribution Of Public Results330 Results Range From 1 To 350 ms1203958779611513415317219121022924826728630532434336270140210280350

Revision History

pts/onednn-1.5.0     17 Jun 2020 16:26 EDT
Initial commit of oneDNN test profile based on Intel oneDNN 1.5, forked from existing mkl-dnn test profile that is named from MKL-DNN before it was renamed to DNNL and then oneDNN. So create new test profile to match Intel naming convention.

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1 System - 48 Benchmark Results

2 x AMD EPYC 7272 12-Core - Supermicro H11DSi-NT v2.00 - AMD Starship

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