OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models.

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

Project Site

github.com

Test Created

7 October 2020

Last Updated

19 November 2020

Test Maintainer

Michael Larabel

Test Type

System

Average Install Time

16 Minutes, 38 Seconds

Average Run Time

4 Minutes, 26 Seconds

Accolades

5k+ Downloads

Supported Platforms


Public Result UploadsReported Installs*Test Completions*OpenBenchmarking.orgEventsOpenVINO Popularity Statisticspts/openvino2020.102020.112020.122021.015001000150020002500
* 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.
Data current as of Fri, 22 Jan 2021 22:16:16 GMT.
Age Gender Recognition Retail 0013 FP3217.6%Age Gender Recognition Retail 0013 FP1617.6%Person Detection 0106 FP1616.3%Face Detection 0106 FP3216.0%Face Detection 0106 FP1616.1%Person Detection 0106 FP3216.3%Model Option PopularityOpenBenchmarking.org

Revision History

pts/openvino-1.0.4   [View Source]   Thu, 19 Nov 2020 13:48:10 GMT
Fix for running OpenVINO on AArch64.

pts/openvino-1.0.3   [View Source]   Thu, 08 Oct 2020 18:19:27 GMT
Expose Intel GPU option that works on Intel GPU setups having their GPU compute stack installed at OpenVINO build time.

pts/openvino-1.0.2   [View Source]   Wed, 07 Oct 2020 20:43:13 GMT
Add python2 as a system dependency - still needed for OpenVINO, yuck.

pts/openvino-1.0.1   [View Source]   Wed, 07 Oct 2020 18:36:20 GMT
Ensure OpenCV gets included as a system dependency.

pts/openvino-1.0.0   [View Source]   Wed, 07 Oct 2020 16:55:46 GMT
Initial commit of OpenVINO benchmark.

Suites Using This Test

Multi-Core

Machine Learning

Intel oneAPI

Creator Workloads

HPC - High Performance Computing


Performance Metrics

Analyze Test Configuration:

OpenVINO 2021.1

Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU

OpenBenchmarking.org metrics for this test profile configuration based on 33 public results since 8 October 2020 with the latest data as of 27 October 2020.

Additional benchmark metrics will come after OpenBenchmarking.org has collected a sufficient data-set.

OpenBenchmarking.orgDistribution Of Public Results - Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU33 Results Range From 884 To 1885 FPS884916948980101210441076110811401172120412361268130013321364139614281460149215241556158816201652168417161748178018121844187619083691215

Based on OpenBenchmarking.org data, the selected test / test configuration (OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU) has an average run-time of 4 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: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPURun-Time246810Min: 3 / Avg: 3.39 / Max: 4

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPUDeviation246810Min: 0 / Avg: 1.03 / Max: 2

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Most Popular Test Results

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3 Systems - 39 Benchmark Results

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