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

15 Minutes, 57 Seconds

Average Run Time

4 Minutes, 26 Seconds

Test Dependencies

Python + C/C++ Compiler Toolchain + CMake

Accolades

5k+ Downloads

Supported Platforms


Public Result Uploads *Reported Installs **Reported Test Completions **Test Profile Page Views ***OpenBenchmarking.orgEventsOpenVINO Popularity Statisticspts/openvino2020.102020.112020.122021.012021.022021.032021.042021.052021.065001000150020002500
* Uploading of benchmark result data to OpenBenchmarking.org is always optional (opt-in) via the Phoronix Test Suite for users wishing to share their results publicly.
** 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.
*** Test profile page view reporting began March 2021.
Data current as of 14 June 2021.
Age Gender Recognition Retail 0013 FP3218.9%Age Gender Recognition Retail 0013 FP1619.1%Person Detection 0106 FP1617.6%Face Detection 0106 FP3213.3%Face Detection 0106 FP1613.4%Person Detection 0106 FP3217.6%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: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 675 public results since 7 October 2020 with the latest data as of 8 June 2021.

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
# Compatible Public Results
FPS (Average)
100th
12
14.80 +/- 0.10
99th
7
12.78 +/- 0.05
98th
12
12.72 +/- 0.09
96th
3
11.88 +/- 0.02
96th
7
11.75 +/- 0.96
96th
3
11.17 +/- 0.04
94th
12
10.38 +/- 0.05
92nd
14
8.83 +/- 0.13
90th
4
7.85 +/- 0.02
89th
6
7.70 +/- 0.05
88th
4
7.54 +/- 0.26
88th
3
7.31 +/- 0.03
87th
6
6.86 +/- 0.04
85th
6
6.69 +/- 0.04
84th
10
6.60 +/- 0.05
82nd
10
6.06 +/- 0.04
81st
4
5.99 +/- 0.04
80th
3
5.82 +/- 0.01
79th
6
5.73 +/- 0.01
79th
10
5.67 +/- 0.05
77th
10
5.57 +/- 0.04
76th
11
5.33 +/- 0.03
Mid-Tier
75th
< 5.33
73rd
8
4.75 +/- 0.01
72nd
3
4.65 +/- 0.02
71st
7
4.57 +/- 0.20
71st
10
4.38 +/- 0.01
67th
10
4.18 +/- 0.04
67th
10
4.17 +/- 0.05
65th
6
3.96 +/- 0.03
64th
3
3.95 +/- 0.02
64th
6
3.93 +/- 0.01
61st
4
3.71 +/- 0.03
60th
10
3.51 +/- 0.03
59th
9
3.13 +/- 0.02
57th
3
3.04 +/- 0.02
57th
13
3.02 +/- 0.05
55th
6
2.99 +/- 0.01
52nd
7
2.86 +/- 0.07
Median
50th
2.51
50th
21
2.48 +/- 0.04
50th
10
2.47 +/- 0.04
47th
10
2.43 +/- 0.02
45th
3
2.37 +/- 0.01
44th
10
2.33 +/- 0.05
43rd
12
2.21 +/- 0.03
41st
3
2.14 +/- 0.01
41st
7
2.08 +/- 0.02
38th
7
1.91 +/- 0.02
37th
8
1.79 +/- 0.03
35th
14
1.62 +/- 0.05
34th
6
1.56 +/- 0.01
31st
9
1.52 +/- 0.04
31st
7
1.52 +/- 0.01
30th
6
1.43 +/- 0.01
27th
4
1.29 +/- 0.01
27th
3
1.29 +/- 0.02
Low-Tier
25th
< 1.29
25th
7
1.28 +/- 0.01
24th
10
1.26 +/- 0.04
24th
9
1.24 +/- 0.01
21st
3
1.20 +/- 0.01
21st
3
1.11 +/- 0.01
20th
6
1.04 +/- 0.01
19th
3
0.91 +/- 0.01
17th
6
0.85 +/- 0.01
16th
3
0.81 +/- 0.01
16th
6
0.80 +/- 0.01
14th
3
0.76 +/- 0.01
12th
6
0.71 +/- 0.01
10th
3
0.67 +/- 0.01
9th
3
0.63 +/- 0.01
8th
3
0.60 +/- 0.01
7th
3
0.43 +/- 0.01
7th
3
0.41 +/- 0.01
6th
7
0.40 +/- 0.01
OpenBenchmarking.orgDistribution Of Public Results - Model: Person Detection 0106 FP16 - Device: CPU675 Results Range From 0 To 15 FPS02468101214161820222460120180240300

Based on OpenBenchmarking.org data, the selected test / test configuration (OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - 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: Person Detection 0106 FP16 - Device: CPURun-Time3691215Min: 1 / Avg: 3.44 / Max: 7

Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.1%.

OpenBenchmarking.orgPercent, Fewer Is BetterAverage Deviation Between RunsModel: Person Detection 0106 FP16 - Device: CPUDeviation246810Min: 0 / Avg: 0.14 / Max: 1

Does It Scale Well With Increasing Cores?

Yes, based on the automated analysis of the collected public benchmark data, this test / test settings does generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.

IntelAMDOpenBenchmarking.orgRelative Core Scaling To BaseOpenVINO CPU Core ScalingModel: Person Detection 0106 FP16 - Device: CPU4681216182432486412848121620

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