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.

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

This utility test profile is maintained by Michael Larabel. This OpenBenchmarking.org test profile was created on 7 October 2020 and last updated on 8 October 2020. To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark openvino.

This test has an average install time of 24 minutes, 37 seconds and an average run-time of 4 minutes, 26 seconds.

Recently Created Test Profile
Age Gender Recognition Retail 0013 FP3219.1%Age Gender Recognition Retail 0013 FP1618.9%Person Detection 0106 FP1615.8%Face Detection 0106 FP3215.1%Face Detection 0106 FP1615.2%Person Detection 0106 FP3215.8%Model Option PopularityOpenBenchmarking.org
CPU93.8%Intel GPU6.2%Device Option PopularityOpenBenchmarking.org

Revision History

pts/openvino-1.0.3   [View Source]   08 Oct 2020 18:19 EDT
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]   07 Oct 2020 20:43 EDT
Add python2 as a system dependency - still needed for OpenVINO, yuck.

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

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

Suites Using This Test

Multi-Core

Machine Learning

Intel oneAPI

Creator Workloads

Performance Metrics

Analyze Test Configuration:

OpenVINO 2021.1

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 132 public samples since 7 October 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.

OpenBenchmarking.orgDistribution Of Public Results - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU132 Results Range From 0 To 6 ms00.511.522.533.544.555.561530456075

Based on OpenBenchmarking.org data, the selected test / test configuration (OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU) 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: CPURun-Time246810Min: 3 / Avg: 3 / Max: 3

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.2%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: Age Gender Recognition Retail 0013 FP32 - Device: CPUDeviation246810Min: 0 / Avg: 0.18 / Max: 1

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