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 .
Test Created 7 October 2020
Last Updated 23 November 2024
Test Type System
Average Install Time 19 Minutes, 51 Seconds
Average Run Time 4 Minutes, 26 Seconds
Test Dependencies Python + C/C++ Compiler Toolchain + CMake
Accolades
Public Result Uploads * Reported Installs ** Reported Test Completions ** Test Profile Page Views *** OpenBenchmarking.org Events OpenVINO Popularity Statistics pts/openvino 2020.10 2020.12 2021.02 2021.04 2021.06 2021.08 2021.10 2021.12 2022.02 2022.04 2022.06 2022.08 2022.10 2022.12 2023.02 2023.04 2023.06 2023.08 2023.10 2023.12 2024.02 2024.04 2024.06 2024.08 2024.10 2024.12 14K 28K 42K 56K 70K * 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.opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Person Detection FP16 11.3% Face Detection Retail FP16-INT8 11.1% Person Vehicle Bike Detection FP16 11.1% Machine Translation EN To DE FP16 11.1% Person Re-Identification Retail FP16 11.1% Age Gender Recognition Retail 0013 FP16 11.1% Handwritten English Recognition FP16-INT8 11.1% Road Segmentation ADAS FP16-INT8 11.1% Noise Suppression Poconet-Like FP16 11.1% Model Option Popularity OpenBenchmarking.org pts/openvino-1.6.0 [View Source ] Sat, 23 Nov 2024 09:25:21 GMT Update against OpenVINO 2024.5 upstream.
pts/openvino-1.5.0 [View Source ] Wed, 06 Mar 2024 14:47:11 GMT Update against OpenVINO 2024.0 upstream.
pts/openvino-1.4.0 [View Source ] Sun, 29 Oct 2023 14:20:45 GMT Update against OpenVINO 2023.2.dev to allow building on Ubuntu 23.10.
pts/openvino-1.3.0 [View Source ] Fri, 29 Sep 2023 10:07:22 GMT Update against OpenVINO 2023.1 upstream.
pts/openvino-1.2.0 [View Source ] Wed, 21 Dec 2022 18:32:34 GMT Update against OpenVINO 2022.3 upstream.
pts/openvino-1.1.0 [View Source ] Wed, 31 Aug 2022 15:43:22 GMT Update against OpenVINO upstream to fix build on newer distros.
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.
Analyze Test Configuration: pts/openvino-1.6.x - Model: Person Detection FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Person Detection FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Machine Translation EN To DE FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Person Re-Identification Retail FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Vehicle Detection FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Face Detection FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Face Detection FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Face Detection Retail FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Handwritten English Recognition FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Vehicle Detection FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Handwritten English Recognition FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Face Detection Retail FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Road Segmentation ADAS FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Face Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Face Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.6.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Person Detection FP32 - Device: CPU (ms) pts/openvino-1.6.x - Model: Weld Porosity Detection FP16 - Device: CPU (FPS) pts/openvino-1.6.x - Model: Weld Porosity Detection FP16 - Device: CPU (ms) pts/openvino-1.6.x - Model: Person Detection FP32 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Machine Translation EN To DE FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Person Detection FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Person Detection FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Face Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Face Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Person Re-Identification Retail FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Vehicle Detection FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Vehicle Detection FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Weld Porosity Detection FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Weld Porosity Detection FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Face Detection FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Person Detection FP32 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Person Detection FP32 - Device: CPU (ms) pts/openvino-1.5.x - Model: Face Detection FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Handwritten English Recognition FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Handwritten English Recognition FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Face Detection Retail FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Face Detection Retail FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.5.x - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Road Segmentation ADAS FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Person Detection FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Machine Translation EN To DE FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Person Detection FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Face Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Face Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Face Detection FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.4.x - Model: Face Detection FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Vehicle Detection FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Weld Porosity Detection FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Vehicle Detection FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Weld Porosity Detection FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Person Detection FP32 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Handwritten English Recognition FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Face Detection Retail FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS) pts/openvino-1.4.x - Model: Person Detection FP32 - Device: CPU (ms) pts/openvino-1.4.x - Model: Handwritten English Recognition FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Face Detection Retail FP16 - Device: CPU (ms) pts/openvino-1.4.x - Model: Road Segmentation ADAS FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Person Detection FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Face Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Face Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Person Detection FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms) pts/openvino-1.3.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Machine Translation EN To DE FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Road Segmentation ADAS FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Face Detection FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Vehicle Detection FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Face Detection Retail FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Person Detection FP32 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Person Detection FP32 - Device: CPU (ms) pts/openvino-1.3.x - Model: Face Detection Retail FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Vehicle Detection FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Face Detection FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Weld Porosity Detection FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Handwritten English Recognition FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Weld Porosity Detection FP16 - Device: CPU (FPS) pts/openvino-1.3.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.3.x - Model: Handwritten English Recognition FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms) pts/openvino-1.2.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Machine Translation EN To DE FP16 - Device: CPU (ms) pts/openvino-1.2.x - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Face Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.2.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.2.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Person Detection FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Person Detection FP16 - Device: CPU (ms) pts/openvino-1.2.x - Model: Face Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.2.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms) pts/openvino-1.2.x - Model: Vehicle Detection FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Vehicle Detection FP16 - Device: CPU (ms) pts/openvino-1.2.x - Model: Person Detection FP32 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Person Detection FP32 - Device: CPU (ms) pts/openvino-1.2.x - Model: Weld Porosity Detection FP16 - Device: CPU (ms) pts/openvino-1.2.x - Model: Weld Porosity Detection FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Face Detection FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Face Detection FP16 - Device: CPU (ms) pts/openvino-1.2.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.2.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Person Detection FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Person Detection FP32 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Face Detection FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Face Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Person Detection FP32 - Device: CPU (ms) pts/openvino-1.1.x - Model: Person Detection FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Weld Porosity Detection FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Face Detection FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Machine Translation EN To DE FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Weld Porosity Detection FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Vehicle Detection FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS) pts/openvino-1.1.x - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms) pts/openvino-1.1.x - Model: Vehicle Detection FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms) pts/openvino-1.1.x - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.1.x - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.1.x - Model: Face Detection FP16-INT8 - Device: CPU (ms) pts/openvino-1.0.x - Model: Person Detection 0106 FP16 - Device: CPU (FPS) pts/openvino-1.0.x - Model: Person Detection 0106 FP32 - Device: CPU (FPS) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS) pts/openvino-1.0.x - Model: Person Detection 0106 FP16 - Device: CPU (ms) pts/openvino-1.0.x - Model: Person Detection 0106 FP32 - Device: CPU (ms) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms) pts/openvino-1.0.x - Model: Face Detection 0106 FP16 - Device: CPU (FPS) pts/openvino-1.0.x - Model: Face Detection 0106 FP32 - Device: CPU (FPS) pts/openvino-1.0.x - Model: Face Detection 0106 FP16 - Device: CPU (ms) pts/openvino-1.0.x - Model: Face Detection 0106 FP32 - Device: CPU (ms) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU (FPS) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU (ms) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU (FPS) pts/openvino-1.0.x - Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU (ms) OpenVINO 2024.5 Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org metrics for this test profile configuration based on 52 public results since 24 November 2024 with the latest data as of 13 December 2024 .
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)
Detailed Performance Overview OpenBenchmarking.org Distribution Of Public Results - Model: Face Detection FP16 - Device: CPU 52 Results Range From 1 To 214 FPS 1 16 31 46 61 76 91 106 121 136 151 166 181 196 211 226 8 16 24 32 40 Based on OpenBenchmarking.org data, the selected test / test configuration (OpenVINO 2024.5 - Model: Face Detection 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.org Minutes Time Required To Complete Benchmark Model: Face Detection FP16 - Device: CPU Run-Time 2 4 6 8 10 Min: 3 / Avg: 3.25 / Max: 4 Notable Instruction Set Usage Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
Instruction Set
Support
Instructions Detected
SSE2 (SSE2)
Used by default on supported hardware.
MOVDQA PUNPCKLQDQ CVTSI2SD MULSD MOVDQU MOVAPD DIVSD MOVUPD ADDSD SUBSD COMISD MOVD ANDPD UCOMISD MOVMSKPD XORPD PADDQ PSRLDQ SHUFPD UNPCKHPD CVTTSD2SI PSHUFD PSHUFLW UNPCKLPD CVTDQ2PS CVTDQ2PD CVTSD2SS CVTPD2PS CVTTPD2DQ CMPLEPD SUBPD PSUBQ CVTSS2SD ANDNPD CMPNLESD ORPD CMPLTPD ADDPD CVTPS2PD CVTTPS2DQ MAXSD DIVPD MOVHPD PMULUDQ CMPNEQPD SQRTSD PUNPCKHQDQ MINSD
SSSE3 (SSSE3)
Used by default on supported hardware.
PSHUFB
Requires passing a supported compiler/build flag (verified with targets: sandybridge, skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).Sandy Bridge (2011).Bulldozer (2011). VZEROUPPER VEXTRACTF128 VINSERTF128 VPERMILPD VBROADCASTSS VBROADCASTSD VPERM2F128 VPERMILPS
Requires passing a supported compiler/build flag (verified with targets: skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).Haswell (2013).Excavator (2016). VINSERTI128 VPBROADCASTW VPBROADCASTD VPBROADCASTQ VPERMQ VEXTRACTI128 VPERM2I128 VPBROADCASTB VPGATHERQQ VPGATHERDQ VPMASKMOVD VPMASKMOVQ VPSRLVQ VPERMD
Requires passing a supported compiler/build flag (verified with targets: skylake, tigerlake, cascadelake, sapphirerapids, alderlake, znver2, znver3).Haswell (2013).Bulldozer (2011). VFMADD132SD VFMADD213SS VFMADD132SS VFMADD231SD VFMADD231SS VFNMADD132SD VFMADD213SD VFMSUB132SD VFMADD213PS VFMADD132PS VFNMADD132SS VFNMADD231SS VFMSUB231SS VFMSUB231SD VFMSUB132SS VFMADD132PD
Advanced Vector Extensions 512 (AVX512)
Requires passing a supported compiler/build flag (verified with targets: cascadelake, sapphirerapids).
(ZMM REGISTER USE)
The test / benchmark does honor compiler flag changes.
Last automated analysis: 1 October 2023
This test profile binary relies on the shared libraries libOpenCL.so.1, libopenvino.so.2310, libm.so.6, libc.so.6, libz.so.1, libtbb.so.2, libtbb.so.12, libjpeg.so.8, libwebp.so.7, libpng16.so.16, libgdcmMSFF.so.3.0, libtiff.so.5, libopenjp2.so.7, libgdal.so.30, libgdcmDSED.so.3.0, libgdcmDICT.so.3.0, libgdcmjpeg8.so.3.0, libgdcmjpeg12.so.3.0, libgdcmjpeg16.so.3.0, libcharls.so.2, libuuid.so.1, libjson-c.so.5, libgdcmIOD.so.3.0, libgdcmCommon.so.3.0, libzstd.so.1, liblzma.so.5, libjbig.so.0, libdeflate.so.0, libheif.so.1, libarmadillo.so.10, libpoppler.so.118, libfreexl.so.1, libodbc.so.2, libodbcinst.so.2, libkmlbase.so.1, libkmldom.so.1, libkmlengine.so.1, libexpat.so.1, libxerces-c-3.2.so, libnetcdf.so.19, libmfhdfalt.so.0, libdfalt.so.0, libogdi.so.4.1, libgif.so.7, libgeotiff.so.5, libcfitsio.so.9, libpq.so.5, liblz4.so.1, libblosc.so.1, libproj.so.22, libsqlite3.so.0, libspatialite.so.7, libpcre2-8.so.0, libcurl.so.4, libfyba.so.0, libxml2.so.2, libmysqlclient.so.21, libcrypto.so.3, libaom.so.3, libde265.so.0, libx265.so.199, libdav1d.so.5, libblas.so.3, liblapack.so.3, libarpack.so.2, libsuperlu.so.5, libfreetype.so.6, libfontconfig.so.1, liblcms2.so.2, libnss3.so, libsmime3.so, libplc4.so, libnspr4.so, libgeos.so.3.10.2, libltdl.so.7, libminizip.so.1, liburiparser.so.1, libcurl-gnutls.so.4, libicuuc.so.70, libsz.so.2, libtirpc.so.3, libdl.so.2, libbz2.so.1.0, libssl.so.3, libldap-2.5.so.0, libsnappy.so.1, librttopo.so.1, libnghttp2.so.14, libidn2.so.0, librtmp.so.1, libssh.so.4, libpsl.so.5, liblber-2.5.so.0, libbrotlidec.so.1, libfyut.so.0, libfygm.so.0, libresolv.so.2, libpthread.so.0, libnuma.so.1, libopenblas.so.0, libgfortran.so.5, libnssutil3.so, libplds4.so, libnettle.so.8, libgnutls.so.30, libicudata.so.70, libaec.so.0, libkrb5.so.3, libk5crypto.so.3, libkrb5support.so.0, libsasl2.so.2, libunistring.so.2, libhogweed.so.6, libgmp.so.10, libbrotlicommon.so.1, libquadmath.so.0, libp11-kit.so.0, libtasn1.so.6, libkeyutils.so.1, libffi.so.8 .
Tested CPU Architectures This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
CPU Architecture
Kernel Identifier
Verified On
Intel / AMD x86 64-bit
x86_64
(Many Processors)
ARMv8 64-bit
aarch64
ARMv8 Neoverse-N1 128-Core, ARMv8 Neoverse-V2 72-Core
3 Systems - 127 Benchmark Results
AMD Ryzen 9 9950X 16-Core - ASRock X870E Taichi - AMD Device 14d8
Ubuntu 24.04 - 6.8.0-50-generic - GNOME Shell 46.0
3 Systems - 79 Benchmark Results
AMD Ryzen AI 9 365 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507
Ubuntu 24.10 - 6.12.0-rc7-phx-eraps - GNOME Shell 47.0
1 System - 40 Benchmark Results
2 x INTEL XEON PLATINUM 8568Y+ - Supermicro X13DAI-T v1.01 - Intel Device 1bce
Ubuntu 24.04 - 6.8.0-49-generic - GNOME Shell 46.0
2 Systems - 116 Benchmark Results
AMD EPYC 9575F 64-Core - Supermicro Super Server H13SSL-N v1.01 - AMD 1Ah
Ubuntu 24.10 - 6.12.0-rc7-linux-pm-next-phx - GNOME Shell 47.0
4 Systems - 110 Benchmark Results
Intel Core i7-1280P - MSI Prestige 14Evo A12M MS-14C6 - Intel Alder Lake PCH
Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell 47.0
2 Systems - 90 Benchmark Results
AMD Ryzen 7 9800X3D 8-Core - ASRock X870E Taichi - AMD Device 14d8
Ubuntu 24.04 - 6.8.0-49-generic - GNOME Shell 46.0
4 Systems - 94 Benchmark Results
Intel Core Ultra 9 285K - ASUS ROG MAXIMUS Z890 HERO - Intel Device ae7f
Ubuntu 24.10 - 6.11.0-9-generic - GNOME Shell 47.0
5 Systems - 64 Benchmark Results
AMD Ryzen AI 9 HX 370 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507
Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell 47.0
4 Systems - 64 Benchmark Results
AMD Ryzen 7 7840HS - Framework Laptop 16 - AMD Device 14e8
Ubuntu 24.04 - 6.8.0-48-generic - GNOME Shell 46.0
1 System - 52 Benchmark Results
ARMv8 Neoverse-N1 - System76 Thelio Astra - Ampere Computing LLC Altra PCI Root Complex A
Ubuntu 24.04 - 6.8.0-48-generic-64k - GNOME Shell 46.0
2 Systems - 77 Benchmark Results
ARMv8 Neoverse-N1 - System76 Thelio Astra - Ampere Computing LLC Altra PCI Root Complex A
Ubuntu 24.04 - 6.8.0-48-generic-64k - GNOME Shell 46.0
2 Systems - 82 Benchmark Results
Intel Core Ultra 7 256V - ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 - Intel Device a87f
Ubuntu 24.10 - 6.12.0-rc3-phx-aipt - GNOME Shell 47.0
3 Systems - 52 Benchmark Results
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Ubuntu 24.04 - 6.8.0-48-generic - GNOME Shell 46.0
4 Systems - 52 Benchmark Results
ARMv8 Neoverse-V2 - Pegatron JIMBO P4352 - 1 x 480GB LPDDR5-6400MT
Ubuntu 24.04 - 6.8.0-49-generic-64k - GCC 13.2.0 + Clang 18.1.3 + CUDA 11.8
2 Systems - 52 Benchmark Results
AMD EPYC 9655P 96-Core - Supermicro Super Server H13SSL-N v1.01 - AMD 1Ah
Ubuntu 24.10 - 6.12.0-rc7-linux-pm-next-phx - GNOME Shell 47.0
2 Systems - 116 Benchmark Results
AMD EPYC 9575F 64-Core - Supermicro Super Server H13SSL-N v1.01 - AMD 1Ah
Ubuntu 24.10 - 6.12.0-rc7-linux-pm-next-phx - GNOME Shell 47.0
4 Systems - 94 Benchmark Results
Intel Core Ultra 9 285K - ASUS ROG MAXIMUS Z890 HERO - Intel Device ae7f
Ubuntu 24.10 - 6.11.0-9-generic - GNOME Shell 47.0
2 Systems - 77 Benchmark Results
ARMv8 Neoverse-N1 - System76 Thelio Astra - Ampere Computing LLC Altra PCI Root Complex A
Ubuntu 24.04 - 6.8.0-48-generic-64k - GNOME Shell 46.0
2 Systems - 82 Benchmark Results
Intel Core Ultra 7 256V - ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 - Intel Device a87f
Ubuntu 24.10 - 6.12.0-rc3-phx-aipt - GNOME Shell 47.0
5 Systems - 64 Benchmark Results
AMD Ryzen AI 9 HX 370 - ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 - AMD Device 1507
Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell 47.0
2 Systems - 82 Benchmark Results
Intel Core Ultra 7 256V - ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 - Intel Device a87f
Ubuntu 24.10 - 6.12.0-rc3-phx-aipt - GNOME Shell 47.0
2 Systems - 52 Benchmark Results
AMD EPYC 9655P 96-Core - Supermicro Super Server H13SSL-N v1.01 - AMD 1Ah
Ubuntu 24.10 - 6.12.0-rc7-linux-pm-next-phx - GNOME Shell 47.0
2 Systems - 90 Benchmark Results
AMD Ryzen 7 9800X3D 8-Core - ASRock X870E Taichi - AMD Device 14d8
Ubuntu 24.04 - 6.8.0-49-generic - GNOME Shell 46.0
2 Systems - 90 Benchmark Results
AMD Ryzen 7 9800X3D 8-Core - ASRock X870E Taichi - AMD Device 14d8
Ubuntu 24.04 - 6.8.0-49-generic - GNOME Shell 46.0
2 Systems - 77 Benchmark Results
ARMv8 Neoverse-N1 - System76 Thelio Astra - Ampere Computing LLC Altra PCI Root Complex A
Ubuntu 24.04 - 6.8.0-48-generic-64k - GNOME Shell 46.0
4 Systems - 52 Benchmark Results
ARMv8 Neoverse-V2 - Pegatron JIMBO P4352 - 1 x 480GB LPDDR5-6400MT
Ubuntu 24.04 - 6.8.0-49-generic-64k - GCC 13.2.0 + Clang 18.1.3 + CUDA 11.8
4 Systems - 64 Benchmark Results
AMD Ryzen 7 7840HS - Framework Laptop 16 - AMD Device 14e8
Ubuntu 24.04 - 6.8.0-48-generic - GNOME Shell 46.0
4 Systems - 110 Benchmark Results
Intel Core i7-1280P - MSI Prestige 14Evo A12M MS-14C6 - Intel Alder Lake PCH
Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell 47.0
3 Systems - 52 Benchmark Results
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Ubuntu 24.04 - 6.8.0-48-generic - GNOME Shell 46.0
2 Systems - 116 Benchmark Results
AMD EPYC 9575F 64-Core - Supermicro Super Server H13SSL-N v1.01 - AMD 1Ah
Ubuntu 24.10 - 6.12.0-rc7-linux-pm-next-phx - GNOME Shell 47.0
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