openvino 2024

Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403078-PTS-OPENVINO47
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March 07
  2 Hours, 4 Minutes
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March 07
  2 Hours, 2 Minutes
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March 07
  2 Hours, 2 Minutes
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March 07
  41 Minutes
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openvino 2024OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)ASUS PRIME Z790-P WIFI (1402 BIOS)Intel Device 7a272 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36Western Digital WD_BLACK SN850X 1000GBASUS Intel RPL-S 31GB (1650MHz)Realtek ALC897ASUS VP28UUbuntu 23.106.7.0-060700rc7daily20231224-generic (x86_64)GNOME Shell 45.1X Server 1.21.1.74.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa)OpenCL 3.0GCC 13.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionOpenvino 2024 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x11d - Thermald 2.5.4- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%100%101%101%OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOP.D.F - CPUP.D.F - CPUF.D.F - CPUF.D.F - CPUP.V.B.D.F - CPUP.V.B.D.F - CPUH.E.R.F.I - CPUH.E.R.F.I - CPUW.P.D.F.I - CPUP.D.F - CPUP.D.F - CPUR.S.A.F.I - CPUR.S.A.F.I - CPUV.D.F.I - CPUN.S.P.L.F - CPUV.D.F.I - CPUN.S.P.L.F - CPUM.T.E.T.D.F - CPUM.T.E.T.D.F - CPUA.G.R.R.0.F - CPUF.D.R.F - CPUR.S.A.F - CPUR.S.A.F - CPUF.D.R.F - CPUA.G.R.R.0.F - CPUA.G.R.R.0.F.I - CPUV.D.F - CPUV.D.F - CPUF.D.F.I - CPUW.P.D.F - CPUW.P.D.F - CPUH.E.R.F - CPUH.E.R.F - CPUP.R.I.R.F - CPUF.D.F.I - CPUP.R.I.R.F - CPUW.P.D.F.I - CPUF.D.R.F.I - CPUF.D.R.F.I - CPUA.G.R.R.0.F.I - CPU

openvino 2024openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUabcd1431.135.54430.2918.55143.8955.47123.8864.52145.3354.9322.921036.4221.62368.4711.69679.7079.80300.1868.05352.1163.91124.969.52828.448.332769.958.95878.0543.55545.840.5737990.6922.19359.1213.021794.431.5114614.485.081562.691431.835.55429.5418.57145.0655.03123.0264.95145.4754.8522.921036.0421.52370.4711.69679.9279.41301.7067.70353.9164.07124.669.48828.918.322771.598.94880.3443.34548.740.5738013.0522.14359.9613.001807.911.5214529.645.061569.941418.375.61430.4018.53144.0455.42123.6664.61144.5255.2222.891037.1621.63368.5811.76675.9079.41301.6267.66354.0763.69125.429.50829.298.322770.848.93880.3043.38548.030.5737977.9822.10360.6713.031791.961.5114538.015.091560.241409.955.64428.9718.63145.1354.98123.4464.71147.254.2322.751043.421.45371.5211.81672.6579.55301.1167.41355.5264.04124.759.58318.322772.328.88884.4543.32548.440.5738193.9222.22358.6413.021791.031.5114593.465.061569.18OpenBenchmarking.org

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 via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUbacd30060090012001500SE +/- 13.01, N = 3SE +/- 12.71, N = 4SE +/- 15.78, N = 31431.831431.131418.371409.95MIN: 1082.62 / MAX: 2031.97MIN: 605.23 / MAX: 2285.53MIN: 1085.81 / MAX: 2027.91MIN: 1082.33 / MAX: 2001.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUabcd1.2692.5383.8075.0766.345SE +/- 0.06, N = 4SE +/- 0.07, N = 3SE +/- 0.06, N = 35.545.555.615.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUcabd90180270360450SE +/- 0.49, N = 3SE +/- 0.18, N = 3SE +/- 0.40, N = 3430.40430.29429.54428.97MIN: 257.56 / MAX: 1108.13MIN: 257.52 / MAX: 1279.77MIN: 257.8 / MAX: 1074.48MIN: 257.33 / MAX: 1070.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUcabd510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.5318.5518.5718.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUdbca306090120150SE +/- 0.90, N = 3SE +/- 1.08, N = 3SE +/- 1.52, N = 3145.13145.06144.04143.89MIN: 61.17 / MAX: 331.83MIN: 104.99 / MAX: 332.47MIN: 103.76 / MAX: 357.67MIN: 102.76 / MAX: 364.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUdbca1224364860SE +/- 0.34, N = 3SE +/- 0.41, N = 3SE +/- 0.59, N = 354.9855.0355.4255.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUacdb306090120150SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.60, N = 3123.88123.66123.44123.02MIN: 80.92 / MAX: 345.32MIN: 83.99 / MAX: 339.58MIN: 82.38 / MAX: 360.11MIN: 71.26 / MAX: 344.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUacdb1428425670SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 364.5264.6164.7164.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUdbac306090120150SE +/- 0.79, N = 3SE +/- 2.13, N = 3SE +/- 0.23, N = 3147.20145.47145.33144.52MIN: 107.25 / MAX: 337.03MIN: 68.34 / MAX: 419.01MIN: 71.2 / MAX: 360.27MIN: 64.95 / MAX: 367.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUdbac1224364860SE +/- 0.29, N = 3SE +/- 0.78, N = 3SE +/- 0.10, N = 354.2354.8554.9355.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUbacd510152025SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 322.9222.9222.8922.75MIN: 12.52 / MAX: 85.7MIN: 12.82 / MAX: 88.3MIN: 16.2 / MAX: 85.68MIN: 13.27 / MAX: 84.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUbacd2004006008001000SE +/- 0.29, N = 3SE +/- 3.66, N = 3SE +/- 0.95, N = 31036.041036.421037.161043.401. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUcabd510152025SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 321.6321.6221.5221.45MIN: 10.36 / MAX: 139.06MIN: 10.64 / MAX: 138.55MIN: 9.3 / MAX: 140.98MIN: 11.1 / MAX: 130.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUacbd80160240320400SE +/- 0.66, N = 3SE +/- 1.20, N = 3SE +/- 0.92, N = 3368.47368.58370.47371.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUdcba3691215SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 311.8111.7611.6911.69MIN: 5.07 / MAX: 58.59MIN: 5.18 / MAX: 59.34MIN: 5.25 / MAX: 61.44MIN: 4.9 / MAX: 58.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUdcab150300450600750SE +/- 3.61, N = 3SE +/- 3.82, N = 3SE +/- 3.96, N = 3672.65675.90679.70679.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUadcb20406080100SE +/- 0.33, N = 3SE +/- 0.27, N = 3SE +/- 0.44, N = 379.8079.5579.4179.41MIN: 47.2 / MAX: 301.27MIN: 53.81 / MAX: 254.14MIN: 50.66 / MAX: 284.03MIN: 51.94 / MAX: 280.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUadcb70140210280350SE +/- 1.26, N = 3SE +/- 1.02, N = 3SE +/- 1.69, N = 3300.18301.11301.62301.701. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUabcd1530456075SE +/- 0.26, N = 3SE +/- 0.24, N = 3SE +/- 0.30, N = 368.0567.7067.6667.41MIN: 43.11 / MAX: 237.32MIN: 41.88 / MAX: 256.01MIN: 41.62 / MAX: 242.27MIN: 46.04 / MAX: 238.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUabcd80160240320400SE +/- 1.31, N = 3SE +/- 1.22, N = 3SE +/- 1.54, N = 3352.11353.91354.07355.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUbdac1428425670SE +/- 0.26, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 364.0764.0463.9163.69MIN: 16.45 / MAX: 185.4MIN: 20.67 / MAX: 176.81MIN: 16.56 / MAX: 179.66MIN: 16.35 / MAX: 179.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUbdac306090120150SE +/- 0.50, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3124.66124.75124.96125.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUadcb3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.529.509.509.48MIN: 3.74 / MAX: 55.08MIN: 4.01 / MAX: 56.18MIN: 3.91 / MAX: 57.65MIN: 3.92 / MAX: 63.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUabcd2004006008001000SE +/- 1.67, N = 3SE +/- 0.77, N = 3SE +/- 1.98, N = 3828.44828.91829.29831.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUadcb246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.338.328.328.32MIN: 4.31 / MAX: 43.34MIN: 4.24 / MAX: 45.21MIN: 4.19 / MAX: 44.33MIN: 4.14 / MAX: 42.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUacbd6001200180024003000SE +/- 2.31, N = 3SE +/- 1.46, N = 3SE +/- 3.98, N = 32769.952770.842771.592772.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUabcd3691215SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 38.958.948.938.88MIN: 3.77 / MAX: 63.03MIN: 3.61 / MAX: 64.78MIN: 3.76 / MAX: 63.07MIN: 3.79 / MAX: 62.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUacbd2004006008001000SE +/- 1.46, N = 3SE +/- 2.34, N = 3SE +/- 3.18, N = 3878.05880.30880.34884.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUacbd1020304050SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 343.5543.3843.3443.32MIN: 27.71 / MAX: 168.54MIN: 30.58 / MAX: 167.2MIN: 22.94 / MAX: 153.89MIN: 23.33 / MAX: 168.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUacdb120240360480600SE +/- 1.65, N = 3SE +/- 1.63, N = 3SE +/- 1.71, N = 3545.84548.03548.44548.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdcba0.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.570.570.570.57MIN: 0.26 / MAX: 5.16MIN: 0.26 / MAX: 5.44MIN: 0.26 / MAX: 6.35MIN: 0.26 / MAX: 7.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcabd8K16K24K32K40KSE +/- 41.99, N = 3SE +/- 92.87, N = 3SE +/- 66.76, N = 337977.9837990.6938013.0538193.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUdabc510152025SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 322.2222.1922.1422.10MIN: 8.85 / MAX: 89.64MIN: 8.4 / MAX: 93.5MIN: 10.45 / MAX: 95.33MIN: 8.57 / MAX: 94.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUdabc80160240320400SE +/- 0.77, N = 3SE +/- 0.80, N = 3SE +/- 0.80, N = 3358.64359.12359.96360.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUcdab3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.0313.0213.0213.00MIN: 6.57 / MAX: 80.02MIN: 6.66 / MAX: 73.73MIN: 6.59 / MAX: 76.06MIN: 6.29 / MAX: 87.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUdcab400800120016002000SE +/- 2.14, N = 3SE +/- 1.23, N = 3SE +/- 9.52, N = 31791.031791.961794.431807.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUbdca0.3420.6841.0261.3681.71SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.521.511.511.51MIN: 0.68 / MAX: 8.23MIN: 0.69 / MAX: 8.28MIN: 0.68 / MAX: 10.22MIN: 0.67 / MAX: 8.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUbcda3K6K9K12K15KSE +/- 42.40, N = 3SE +/- 8.93, N = 3SE +/- 11.80, N = 314529.6414538.0114593.4614614.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUcadb1.14532.29063.43594.58125.7265SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 35.095.085.065.06MIN: 1.97 / MAX: 30.6MIN: 2 / MAX: 30.7MIN: 2.02 / MAX: 31.5MIN: 1.96 / MAX: 30.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUcadb30060090012001500SE +/- 9.44, N = 3SE +/- 12.14, N = 3SE +/- 7.83, N = 31560.241562.691569.181569.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

40 Results Shown

OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Noise Suppression Poconet-Like FP16 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
  Person Re-Identification Retail FP16 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Face Detection Retail FP16 - CPU:
    ms
    FPS