openvino 2024

AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA GeForce RTX 4090 24GB 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 2403069-PTS-OPENVINO90
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March 06
  2 Hours, 4 Minutes
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March 06
  2 Hours, 2 Minutes
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March 06
  2 Hours, 2 Minutes
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openvino 2024OpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads)ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS)AMD Device 14d82 x 16GB DRAM-6000MT/s G Skill F5-6000J3038F16G2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GBNVIDIA GeForce RTX 4090 24GBNVIDIA AD102 HD AudioDELL U2723QEIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 23.106.7.0-060700-generic (x86_64)GNOME Shell 45.2X Server 1.21.1.7NVIDIA 550.54.144.6.0OpenCL 3.0 CUDA 12.4.89GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa601203- 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: Vulnerable: Safe RET no microcode + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%101%101%102%102%OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOR.S.A.F - CPUR.S.A.F - CPUP.D.F - CPUP.V.B.D.F - CPUP.V.B.D.F - CPUP.D.F - CPUP.D.F - CPUP.D.F - CPUV.D.F - CPUV.D.F - CPUF.D.F - CPUM.T.E.T.D.F - CPUM.T.E.T.D.F - CPUR.S.A.F.I - CPUR.S.A.F.I - CPUF.D.F - CPUF.D.R.F - CPUP.R.I.R.F - CPUP.R.I.R.F - CPUF.D.R.F.I - CPUF.D.R.F - CPUW.P.D.F.I - CPUF.D.F.I - CPUF.D.F.I - CPUF.D.R.F.I - CPUW.P.D.F - CPUW.P.D.F - CPUA.G.R.R.0.F - CPUH.E.R.F.I - CPUH.E.R.F.I - CPUW.P.D.F.I - CPUH.E.R.F - CPUH.E.R.F - CPUV.D.F.I - CPUA.G.R.R.0.F.I - CPUN.S.P.L.F - CPUV.D.F.I - CPUN.S.P.L.F - CPUA.G.R.R.0.F - CPUA.G.R.R.0.F.I - CPU

openvino 2024openvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUabc13.3391.5791.17762.8825.433082.02284.771596.861316.134479.95452.34135.422577.451494.151591.11711.301883.1034012.20765.5148218.14597.8787.3087.6810.45314.052.5228.024.9912.133.5017.6358.976.185.339.8722.464.230.4220.850.2913.3791.6892.16765.0925.483095.79282.731594.161316.734496.75455.46134.732578.491492.341592.23710.161887.2234014.57763.8448211.96597.0687.1886.7610.42313.432.5128.224.9912.123.5017.5159.276.175.349.8722.494.220.4220.900.2913.2792.7590.77770.5925.513080.88278.191596.031319.504498.33455.05135.702583.011514.651591.45711.571891.5734096.41765.2348255.24600.0986.1888.0410.35313.052.5128.674.9912.103.4917.5258.856.165.269.8722.454.210.4220.860.29OpenBenchmarking.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.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUcba3691215SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 313.2713.3713.331. (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: CPUcba20406080100SE +/- 0.76, N = 3SE +/- 0.68, N = 3SE +/- 0.79, N = 392.7591.6891.571. (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: CPUcba20406080100SE +/- 0.40, N = 3SE +/- 1.15, N = 3SE +/- 1.05, N = 390.7792.1691.171. (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: CPUcba170340510680850SE +/- 0.96, N = 3SE +/- 1.79, N = 3SE +/- 3.80, N = 3770.59765.09762.881. (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: CPUcba612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 325.5125.4825.431. (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: CPUcba7001400210028003500SE +/- 1.12, N = 3SE +/- 16.74, N = 3SE +/- 6.57, N = 33080.883095.793082.021. (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: CPUcba60120180240300SE +/- 2.46, N = 3SE +/- 1.82, N = 3SE +/- 1.37, N = 3278.19282.73284.771. (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: CPUcba30060090012001500SE +/- 2.29, N = 3SE +/- 0.27, N = 3SE +/- 4.44, N = 31596.031594.161596.861. (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: CPUcba30060090012001500SE +/- 1.80, N = 3SE +/- 1.26, N = 3SE +/- 1.63, N = 31319.501316.731316.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUcba10002000300040005000SE +/- 6.41, N = 3SE +/- 7.60, N = 3SE +/- 8.16, N = 34498.334496.754479.951. (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: CPUcba100200300400500SE +/- 1.99, N = 3SE +/- 0.95, N = 3SE +/- 1.47, N = 3455.05455.46452.341. (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: CPUcba306090120150SE +/- 0.24, N = 3SE +/- 0.51, N = 3SE +/- 0.20, N = 3135.70134.73135.421. (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: CPUcba6001200180024003000SE +/- 2.42, N = 3SE +/- 2.74, N = 3SE +/- 2.84, N = 32583.012578.492577.451. (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: CPUcba30060090012001500SE +/- 5.79, N = 3SE +/- 9.79, N = 3SE +/- 10.51, N = 31514.651492.341494.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUcba30060090012001500SE +/- 1.16, N = 3SE +/- 1.35, N = 3SE +/- 2.77, N = 31591.451592.231591.111. (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: CPUcba150300450600750SE +/- 5.94, N = 3SE +/- 3.16, N = 3SE +/- 2.20, N = 3711.57710.16711.301. (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: CPUcba400800120016002000SE +/- 2.78, N = 3SE +/- 2.36, N = 3SE +/- 1.28, N = 31891.571887.221883.101. (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: CPUcba7K14K21K28K35KSE +/- 8.14, N = 3SE +/- 53.39, N = 3SE +/- 24.86, N = 334096.4134014.5734012.201. (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: CPUcba170340510680850SE +/- 1.63, N = 3SE +/- 3.20, N = 3SE +/- 1.58, N = 3765.23763.84765.511. (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: CPUcba10K20K30K40K50KSE +/- 83.63, N = 3SE +/- 56.28, N = 3SE +/- 65.78, N = 348255.2448211.9648218.141. (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 - Device: CPUcba130260390520650SE +/- 3.92, N = 3SE +/- 3.67, N = 3SE +/- 3.84, N = 3600.09597.06597.87MIN: 549.16 / MAX: 622.69MIN: 543.04 / MAX: 622.56MIN: 542.54 / MAX: 619.981. (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: CPUcba20406080100SE +/- 0.70, N = 3SE +/- 0.65, N = 3SE +/- 0.76, N = 386.1887.1887.30MIN: 36.72 / MAX: 118.14MIN: 65.19 / MAX: 115.17MIN: 65.54 / MAX: 119.071. (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: CPUcba20406080100SE +/- 0.38, N = 3SE +/- 1.07, N = 3SE +/- 1.01, N = 388.0486.7687.68MIN: 47.09 / MAX: 117.98MIN: 60.41 / MAX: 118.86MIN: 61.79 / MAX: 115.551. (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: CPUcba3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 310.3510.4210.45MIN: 4.05 / MAX: 16.44MIN: 4.87 / MAX: 26.31MIN: 4.01 / MAX: 16.61. (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: CPUcba70140210280350SE +/- 0.26, N = 3SE +/- 0.51, N = 3SE +/- 0.27, N = 3313.05313.43314.05MIN: 276.27 / MAX: 334.96MIN: 274.87 / MAX: 322.79MIN: 275.97 / MAX: 320.831. (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: CPUcba0.5671.1341.7012.2682.835SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.512.512.52MIN: 1.25 / MAX: 7.61MIN: 1.26 / MAX: 11.44MIN: 1.27 / MAX: 13.331. (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: CPUcba714212835SE +/- 0.25, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 328.6728.2228.02MIN: 10.75 / MAX: 39.13MIN: 10.53 / MAX: 44.58MIN: 16.22 / MAX: 40.021. (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: CPUcba1.12282.24563.36844.49125.614SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.994.994.99MIN: 2.65 / MAX: 13.94MIN: 2.8 / MAX: 15.08MIN: 2.85 / MAX: 14.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUcba3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.1012.1212.13MIN: 6.14 / MAX: 22.63MIN: 6.67 / MAX: 25.3MIN: 6.43 / MAX: 22.511. (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: CPUcba0.78751.5752.36253.153.9375SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.493.503.50MIN: 1.83 / MAX: 13.54MIN: 1.78 / MAX: 12.34MIN: 1.84 / MAX: 12.791. (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: CPUcba48121620SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 317.5217.5117.63MIN: 11.31 / MAX: 25.02MIN: 8.99 / MAX: 24.3MIN: 8.66 / MAX: 23.811. (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: CPUcba1326395265SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 358.8559.2758.97MIN: 29.03 / MAX: 79.53MIN: 26.39 / MAX: 68.68MIN: 29.49 / MAX: 98.181. (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: CPUcba246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.166.176.18MIN: 3.1 / MAX: 15.04MIN: 3.14 / MAX: 14.86MIN: 3.15 / MAX: 15.541. (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: CPUcba1.20152.4033.60454.8066.0075SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 35.265.345.33MIN: 3.33 / MAX: 14.2MIN: 3.39 / MAX: 15.51MIN: 3.57 / MAX: 11.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUcba3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 39.879.879.87MIN: 5.37 / MAX: 15.94MIN: 5.43 / MAX: 16.47MIN: 6.5 / MAX: 20.171. (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: CPUcba510152025SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 322.4522.4922.46MIN: 15.95 / MAX: 35.14MIN: 14.38 / MAX: 34.89MIN: 14.61 / MAX: 35.031. (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: CPUcba0.95181.90362.85543.80724.759SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.214.224.23MIN: 2.44 / MAX: 13.77MIN: 2.4 / MAX: 13.52MIN: 2.57 / MAX: 14.291. (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: CPUcba0.09450.1890.28350.3780.4725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.420.420.42MIN: 0.21 / MAX: 5MIN: 0.21 / MAX: 7.93MIN: 0.21 / MAX: 4.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUcba510152025SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 320.8620.9020.85MIN: 14.51 / MAX: 33.16MIN: 13.77 / MAX: 84.15MIN: 13.74 / MAX: 31.311. (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: CPUcba0.06530.13060.19590.26120.3265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.290.290.29MIN: 0.16 / MAX: 6.85MIN: 0.16 / MAX: 11.72MIN: 0.16 / MAX: 8.361. (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
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Person Re-Identification Retail FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Person Re-Identification Retail FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU