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 6 March 2024
Test Type System
Average Install Time 20 Minutes, 40 Seconds
Average Run Time 4 Minutes, 26 Seconds
Test Dependencies Python + C/C++ Compiler Toolchain + CMake
Accolades 300k+ Downloads 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 13K 26K 39K 52K 65K
* 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 updated weekly as of 1 November 2024.
Face Detection FP16-INT8 8.6% Age Gender Recognition Retail 0013 FP16-INT8 7.9% Face Detection Retail FP16-INT8 8.4% Vehicle Detection FP16-INT8 7.5% Weld Porosity Detection FP16-INT8 7.4% Person Re-Identification Retail FP16 8.4% Person Vehicle Bike Detection FP16 7.9% Handwritten English Recognition FP16-INT8 8.7% Machine Translation EN To DE FP16 9.0% Noise Suppression Poconet-Like FP16 8.9% Road Segmentation ADAS FP16-INT8 8.5% Person Detection FP16 8.9% Model Option Popularity OpenBenchmarking.org
Revision Historypts/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.
Performance MetricsAnalyze Test Configuration: 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: 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 (FPS) pts/openvino-1.5.x - Model: Handwritten English Recognition 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: Face Detection Retail FP16-INT8 - Device: CPU (FPS) pts/openvino-1.5.x - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms) pts/openvino-1.5.x - Model: Person Re-Identification Retail FP16 - 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: 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: 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 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org metrics for this test profile configuration based on 666 public results since 6 March 2024 with the latest data as of 28 October 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)
OpenBenchmarking.org Distribution Of Public Results - Model: Machine Translation EN To DE FP16 - Device: CPU 662 Results Range From 4 To 2022 FPS 4 49 94 139 184 229 274 319 364 409 454 499 544 589 634 679 724 769 814 859 904 949 994 1039 1084 1129 1174 1219 1264 1309 1354 1399 1444 1489 1534 1579 1624 1669 1714 1759 1804 1849 1894 1939 1984 2029 40 80 120 160 200
Based on OpenBenchmarking.org data, the selected test / test configuration (OpenVINO 2024.0 - Model: Machine Translation EN To DE 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: Machine Translation EN To DE FP16 - Device: CPU Run-Time 3 6 9 12 15 Min: 3 / Avg: 3.25 / Max: 11
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.3% .
OpenBenchmarking.org Percent, Fewer Is Better Average Deviation Between Runs Model: Machine Translation EN To DE FP16 - Device: CPU Deviation 2 4 6 8 10 Min: 0 / Avg: 0.34 / Max: 2
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.
Intel AMD OpenBenchmarking.org Relative Core Scaling To Base OpenVINO CPU Core Scaling Model: Machine Translation EN To DE FP16 - Device: CPU 4 6 8 12 14 16 24 32 64 96 128 192 9 18 27 36 45
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). Found on Intel processors since Sandy Bridge (2011). Found on AMD processors since 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). Found on Intel processors since Haswell (2013). Found on AMD processors since 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). Found on Intel processors since Haswell (2013). Found on AMD processors since 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-V1, ARMv8 Neoverse-V2 72-Core, AmpereOne 192-Core
Recent Test Results
1 System - 342 Benchmark Results
Intel Core i9-12900K - ASUS PRIME Z790-V AX - Intel Raptor Lake-S PCH
Ubuntu 24.04 - 6.8.0-47-generic - GNOME Shell 46.0
Featured Memory Comparison
1 System - 461 Benchmark Results
AMD Ryzen 7 5800X 8-Core - GIGABYTE MC12-LE0-00 v01000100 - AMD Starship
Ubuntu 24.04 - 6.11.0-061100-generic - GNOME Shell 46.0
10 Systems - 145 Benchmark Results
2 x AMD EPYC 9755 128-Core - AMD VOLCANO - AMD Device 153a
Ubuntu 24.04 - 6.10.0-phx - GCC 13.2.0
3 Systems - 242 Benchmark Results
AMD Ryzen 7 7840HS - NB05 TUXEDO Pulse 14 Gen3 R14FA1 - AMD Device 14e8
Ubuntu 23.10 - 6.7.0-060700-generic - GNOME Shell 45.2
6 Systems - 344 Benchmark Results
Intel Core i7-1185G7 - Dell XPS 13 9310 0DXP1F - Intel Tiger Lake-LP
Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell
1 System - 40 Benchmark Results
AMD Ryzen 9 9950X 16-Core - System76 Thelio - AMD Device 14d8
Pop 22.04 - 6.9.3-76060903-generic - GNOME Shell 42.9
1 System - 40 Benchmark Results
AMD Ryzen 5 3550H - ASUS FX505DY v1.0 - AMD Raven
Fedora 40 - 6.10.9-200.fc40.x86_64 - KDE Plasma 6.1.4
1 System - 37 Benchmark Results
AMD Ryzen 7 8845HS - NB04 TUXEDO Sirius 16 Gen2 AHP958 - AMD Device 14e8
Ubuntu 24.10 - 6.11.0-rc6-phx - GNOME Shell
1 System - 334 Benchmark Results
Intel Core i3-12100 - ASRock H610M-HDV/M.2 R2.0 - Intel Device 7aa7
Ubuntu 20.04 - 5.15.0-89-generic - GNOME Shell 3.36.9
Featured Processor Comparison
2 Systems - 413 Benchmark Results
AMD Ryzen 7 4700U - LENOVO IdeaPad 5 14ARE05 LNVNB161216 - AMD Renoir
Ubuntu 24.04 - 6.10.0-phx - GNOME Shell 46.0
1 System - 275 Benchmark Results
Intel Core i5-12500 - ASUS PRIME Z690M-HZ - Intel Alder Lake-S PCH
Debian 12 - 6.1.0-21-amd64 - GCC 12.2.0
1 System - 2 Benchmark Results
Intel Core i9-14900K - ASUS ROG STRIX Z790-E GAMING WIFI II - Intel Device 7a27
Pop 22.04 - 6.9.3-76060903-generic - GNOME Shell 42.9
1 System - 147 Benchmark Results
Intel Xeon Platinum 8375C - Amazon EC2 m6i.8xlarge - Intel 440FX 82441FX PMC
Ubuntu 22.04 - 6.5.0-1017-aws - 1.3.255
Most Popular Test Results
3 Systems - 413 Benchmark Results
AMD Ryzen 7 7840HS - Framework Laptop 16 - AMD Device 14e8
Ubuntu 24.04 - 6.10.0-061000rc4daily20240621-generic - GNOME Shell 46.0
18 Systems - 442 Benchmark Results
Intel Core i5-14400F - ASUS PRIME Z790-P WIFI - Intel Raptor Lake-S PCH
Ubuntu 24.04 - 6.10.0-061000rc2-generic - GNOME Shell 46.0
Featured Compiler Comparison
AMD Ryzen Threadripper 7980X 64-Cores - System76 Thelio Major - AMD Device 14a4
Fedora Linux 40 - 6.8.5-301.fc40.x86_64 - GNOME Shell 46.1
Featured Kernel Comparison
2 x AMD EPYC 9684X 96-Core - AMD Titanite_4G - AMD Device 14a4
Ubuntu 23.10 - 6.9.0-060900rc1daily20240327-generic - GCC 13.2.0
4 Systems - 158 Benchmark Results
AMD Ryzen Threadripper PRO 5965WX 24-Cores - ASUS Pro WS WRX80E-SAGE SE WIFI - AMD Starship
Ubuntu 23.10 - 6.5.0-15-generic - GNOME Shell 45.0
6 Systems - 119 Benchmark Results
Intel Core i9-14900K - ASUS PRIME Z790-P WIFI - Intel Device 7a27
Ubuntu 22.04 - 6.5.0-28-generic - GNOME Shell 42.9
2 Systems - 69 Benchmark Results
AMD Ryzen 5 8500G - ASRock B650 Pro RS - AMD Device 14e8
Ubuntu 23.10 - 6.7.3-060703-generic - GNOME Shell 45.2
3 Systems - 119 Benchmark Results
AMD EPYC 8534P 64-Core - AMD Cinnabar - AMD Device 14a4
Ubuntu 23.10 - 6.5.0-15-generic - GNOME Shell
Featured Kernel Comparison
2 x Intel Xeon Max 9480 - Supermicro SYS-221H-TNR X13DEM v1.10 - Intel Device 1bce
Ubuntu 23.10 - 6.8.0-060800-generic - GNOME Shell 45.0
5 Systems - 464 Benchmark Results
AMD EPYC 4564P 16-Core - Supermicro AS-3015A-I H13SAE-MF v1.00 - AMD Device 14d8
Ubuntu 24.04 - 6.8.0-11-generic - GNOME Shell 45.3
Featured Processor Comparison
AMD Ryzen 9 7900 12-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8
Ubuntu 24.04 - 6.10.0-061000rc2-generic - GNOME Shell 46.0
2 Systems - 108 Benchmark Results
Intel Core i7-1065G7 - Dell 06CDVY - Intel Ice Lake-LP DRAM
Ubuntu 23.10 - 6.7.0-060700rc5-generic - GNOME Shell 45.1
2 Systems - 137 Benchmark Results
Intel Core i9-14900K - ASUS PRIME Z790-P WIFI - Intel Raptor Lake-S PCH
Clear Linux OS 41680 - 6.8.9-1432.native - GNOME Shell 46.1
4 Systems - 242 Benchmark Results
AMD Ryzen 9 7950X 16-Core - ASUS ROG STRIX X670E-E GAMING WIFI - AMD Device 14d8
Ubuntu 23.10 - 6.5.0-28-generic - GNOME Shell 45.2