Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba.

Learn more about this test at the upstream project site: https://github.com/alibaba/MNN.

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

This test has an average install time of 38 seconds and an average run-time of 8 minutes, 24 seconds.

resnet-v2-5020.1%SqueezeNetV1.020.1%mobilenet-v1-1.020.1%inception-v320.1%MobileNetV2_22419.5%Model Option PopularityOpenBenchmarking.org

Revision History

pts/mnn-1.0.1   [View Source]   17 Sep 2020 20:25 EDT
Add min/max reporting to result parser.

pts/mnn-1.0.0   [View Source]   17 Sep 2020 18:57 EDT
Initial commit of Alibaba MNN deep learning framework benchmark.

Suites Using This Test

Machine Learning

Performance Metrics

Analyze Test Configuration:

Mobile Neural Network 2020-09-17

Model: resnet-v2-50

OpenBenchmarking.org metrics for this test profile configuration based on 286 public samples since 17 September 2020 with the latest data as of 25 October 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
> 34
Median
50th
43
Low-Tier
25th
> 59
OpenBenchmarking.orgDistribution Of Public Results - Model: resnet-v2-50286 Results Range From 24 To 1633 ms24641041441842242643043443844244645045445846246647047447848248649049449841024106411041144118412241264130413441384142414641504154415841624166450100150200250

Based on OpenBenchmarking.org data, the selected test / test configuration (Mobile Neural Network 2020-09-17 - Model: resnet-v2-50) has an average run-time of 11 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 BenchmarkModel: resnet-v2-50Run-Time1224364860Min: 3 / Avg: 11.01 / Max: 61

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.7%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: resnet-v2-50Deviation246810Min: 0 / Avg: 0.66 / Max: 5

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