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.

Performance Metrics

OpenVINO 2023.2.dev

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.org metrics for this test profile configuration based on 398 public results since 29 October 2023 with the latest data as of 4 March 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.

Based on OpenBenchmarking.org data, the selected test / test configuration (OpenVINO 2023.2.dev - 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.

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.

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.

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.

Recent Test Results

Most Popular Test Results