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: https://github.com/oneapi-src/oneDNN.

This utility test profile 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, 49 seconds and an average run-time of 2 minutes, 3 seconds.

Installation StatsTest Completion StatsPublic Result UploadsOpenBenchmarking.orgEventsoneDNN Popularitypts/onednn2020.062020.072020.082020.092020.102020.11400800120016002000

* Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting.

Deconvolution Batch deconv_3d14.9%Convolution Batch Shapes Auto13.6%Deconvolution Batch deconv_1d14.9%Recurrent Neural Network Training7.5%IP Batch All14.9%Matrix Multiply Batch Shapes Transformer14.2%IP Batch 1D13.5%Recurrent Neural Network Inference6.4%Harness Option PopularityOpenBenchmarking.org
bf16bf16bf166.5%u8s8f3235.9%f3257.6%Data Type Option PopularityOpenBenchmarking.org

Revision History

pts/onednn-1.5.0   [View Source]   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.

Suites Using This Test

Multi-Core

Machine Learning

Intel oneAPI

CPU Massive

Server CPU Tests

Creator Workloads

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 620 public samples since 17 June 2020 with the latest data as of 1 December 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
> 3.1
Median
50th
4.8
Low-Tier
25th
> 8.8
OpenBenchmarking.orgDistribution Of Public Results - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU620 Results Range From 1 To 350 ms12039587796115134153172191210229248267286305324343362130260390520650

Based on OpenBenchmarking.org data, the selected test / test configuration (oneDNN 1.5 - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU) 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.

OpenBenchmarking.orgMinutesTime Required To Complete BenchmarkHarness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURun-Time246810Min: 1 / Avg: 1 / Max: 1

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 1.1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsHarness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUDeviation3691215Min: 0 / Avg: 1.14 / Max: 10

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