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AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 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 2310027-NE-OPEN1085726
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October 02 2023
  57 Minutes
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October 02 2023
  57 Minutes
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October 02 2023
  57 Minutes
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openOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)ASUS ROG ZENITH II EXTREME (1603 BIOS)AMD Starship/Matisse64GBSamsung SSD 980 PRO 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioASUS VP28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.046.2.0-32-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49)1.2.204GCC 11.4.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionOpen 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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%101%102%103%104%OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenRadiossOpenRadiossOpenVINOOpenVINOOpenRadiossOpenRadiossOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenRadiossOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenRadiossOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOP.D.F - CPUP.D.F - CPUH.E.R.F.I - CPUH.E.R.F.I - CPUM.T.E.T.D.F - CPUP.D.F - CPUM.T.E.T.D.F - CPUP.D.F - CPUV.D.F - CPUV.D.F - CPUA.G.R.R.0.F.I - CPUB.S.o.WI.a.F.S.I.D.CR.S.A.F - CPUR.S.A.F - CPUBumper BeamC.P.D.TA.G.R.R.0.F - CPUP.V.B.D.F - CPUP.V.B.D.F - CPUA.G.R.R.0.F.I - CPUV.D.F.I - CPUV.D.F.I - CPUF.D.F - CPUR.S.A.F.I - CPUR.S.A.F.I - CPUChrysler Neon 1MF.D.F - CPUH.E.R.F - CPUH.E.R.F - CPUW.P.D.F - CPUW.P.D.F - CPUR.O.R.S.IF.D.R.F.I - CPUA.G.R.R.0.F - CPUF.D.F.I - CPUF.D.R.F.I - CPUF.D.F.I - CPUF.D.R.F - CPUW.P.D.F.I - CPUW.P.D.F.I - CPUF.D.R.F - CPU

openopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenradioss: Bird Strike on Windshieldopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenradioss: Bumper Beamopenradioss: Cell Phone Drop Testopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenradioss: Chrysler Neon 1Mopenvino: Face Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenradioss: Rubber O-Ring Seal Installationopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUabcd82.51193.62351.3191149.4784.25106.92189.7226.32606.60.81138.98215.73106.4150.2189.5741.991.131238.9812.938944.56896.3417.841732.14420.9437.98551.239.13346.692.25883.518.0966.462864.627905.721405.295.5811.345.861126.0228.42722.1583.57191.15355.989.85151.2582.15105.68194.4226.45603.650.82138.67218.01106.05150.7288.9142.271.141233.1812.9638748.14896.9117.831728.66420.0438.06550.739.17347.2292.1883.5518.0966.352863.4827892.861404.435.5811.345.871126.728.392719.5185.99185.85357.2889.48152.0582.41105.11193.8326.48603.180.82140.38215.38105.53151.4489.7642.011.141238.3812.938695.96891.3217.941731.41420.1138.05550.119.16347.1192.13880.9218.1466.322858.5427873.751403.565.5911.325.871126.3928.392721.3183.33191.68363.7287.91153.383.96104.26190.4126.73597.380.82140.2215.8105.18151.9589.1841.881.131229.41338762.32893.6517.891738.89418.738.18552.769.13345.7392.49884.6118.0766.542865.327935.941402.55.5811.345.871127.3728.372719.56OpenBenchmarking.org

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUdcba2040608010083.3385.9983.5782.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP32 - Device: CPUdcba4080120160200191.68185.85191.15193.62MIN: 86.28 / MAX: 243.1MIN: 148.82 / MAX: 243.29MIN: 148.64 / MAX: 238.85MIN: 142.18 / MAX: 239.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUdcba80160240320400363.72357.28355.90351.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16-INT8 - Device: CPUdcba2040608010087.9189.4889.8591.00MIN: 61.96 / MAX: 124.42MIN: 51.96 / MAX: 130.57MIN: 53.96 / MAX: 126.38MIN: 54.17 / MAX: 125.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUdcba306090120150153.30152.05151.25149.47MIN: 81.83 / MAX: 201.99MIN: 133.35 / MAX: 202.47MIN: 136.58 / MAX: 204.93MIN: 84.86 / MAX: 203.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUdcba2040608010083.9682.4182.1584.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Machine Translation EN To DE FP16 - Device: CPUdcba20406080100104.26105.11105.68106.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Detection FP16 - Device: CPUdcba4080120160200190.41193.83194.42189.72MIN: 145.3 / MAX: 240.72MIN: 93.08 / MAX: 242.47MIN: 131.79 / MAX: 240.59MIN: 147.43 / MAX: 245.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUdcba61218243026.7326.4826.4526.32MIN: 11.16 / MAX: 51.24MIN: 11.09 / MAX: 50.55MIN: 11.18 / MAX: 50.32MIN: 18.23 / MAX: 49.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16 - Device: CPUdcba130260390520650597.38603.18603.65606.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdcba0.18450.3690.55350.7380.92250.820.820.820.81MIN: 0.5 / MAX: 8.82MIN: 0.51 / MAX: 7.15MIN: 0.46 / MAX: 9.48MIN: 0.47 / MAX: 9.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on Windshielddcba306090120150140.20140.38138.67138.98

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop Containerdcba50100150200250215.80215.38218.01215.73

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUdcba20406080100105.18105.53106.05106.401. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16 - Device: CPUdcba306090120150151.95151.44150.72150.21MIN: 59.13 / MAX: 189.31MIN: 79 / MAX: 175.48MIN: 93.53 / MAX: 168.79MIN: 85.36 / MAX: 178.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper Beamdcba2040608010089.1889.7688.9189.57

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop Testdcba102030405041.8842.0142.2741.99

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUdcba0.25650.5130.76951.0261.28251.131.141.141.13MIN: 0.64 / MAX: 10.98MIN: 0.65 / MAX: 6.81MIN: 0.59 / MAX: 11.42MIN: 0.65 / MAX: 11.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUdcba300600900120015001229.401238.381233.181238.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Person Vehicle Bike Detection FP16 - Device: CPUdcba369121513.0012.9012.9612.90MIN: 7.44 / MAX: 45.57MIN: 7.43 / MAX: 27.33MIN: 7.46 / MAX: 28.18MIN: 11.08 / MAX: 27.21. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdcba8K16K24K32K40K38762.3238695.9638748.1438944.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUdcba2004006008001000893.65891.32896.91896.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Vehicle Detection FP16-INT8 - Device: CPUdcba4812162017.8917.9417.8317.84MIN: 13.07 / MAX: 41.83MIN: 9.33 / MAX: 42.19MIN: 13.26 / MAX: 41.78MIN: 9.5 / MAX: 41.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUdcba4008001200160020001738.891731.411728.661732.14MIN: 1622.14 / MAX: 1859.97MIN: 1580.4 / MAX: 1901.37MIN: 1609.89 / MAX: 1887.23MIN: 1537.01 / MAX: 1888.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUdcba90180270360450418.70420.11420.04420.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Road Segmentation ADAS FP16-INT8 - Device: CPUdcba91827364538.1838.0538.0637.98MIN: 31.22 / MAX: 78.86MIN: 31.62 / MAX: 74.75MIN: 31.93 / MAX: 76.69MIN: 28.9 / MAX: 78.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1Mdcba120240360480600552.76550.11550.73551.23

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16 - Device: CPUdcba36912159.139.169.179.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUdcba80160240320400345.73347.11347.22346.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Handwritten English Recognition FP16 - Device: CPUdcba2040608010092.4992.1392.1092.25MIN: 71.28 / MAX: 148.42MIN: 62.29 / MAX: 142.99MIN: 61.03 / MAX: 146.33MIN: 67.62 / MAX: 142.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUdcba2004006008001000884.61880.92883.55883.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16 - Device: CPUdcba4812162018.0718.1418.0918.09MIN: 16.99 / MAX: 40.3MIN: 16.79 / MAX: 40.85MIN: 9.99 / MAX: 46.94MIN: 9.94 / MAX: 39.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal Installationdcba153045607566.5466.3266.3566.46

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUdcba60012001800240030002865.302858.542863.482864.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUdcba6K12K18K24K30K27935.9427873.7527892.8627905.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUdcba300600900120015001402.501403.561404.431405.29MIN: 1367.9 / MAX: 1467.88MIN: 1371.51 / MAX: 1477.25MIN: 1353.14 / MAX: 1470.07MIN: 1383.2 / MAX: 1465.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16-INT8 - Device: CPUdcba1.25782.51563.77345.03126.2895.585.595.585.58MIN: 4.04 / MAX: 17.6MIN: 3.66 / MAX: 17.4MIN: 4.08 / MAX: 18.38MIN: 3.78 / MAX: 16.51. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection FP16-INT8 - Device: CPUdcba369121511.3411.3211.3411.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUdcba1.32082.64163.96245.28326.6045.875.875.875.86MIN: 3.04 / MAX: 18.28MIN: 3.74 / MAX: 18.48MIN: 3.11 / MAX: 18.94MIN: 3.79 / MAX: 20.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUdcba20040060080010001127.371126.391126.701126.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.1Model: Weld Porosity Detection FP16-INT8 - Device: CPUdcba71421283528.3728.3928.3928.40MIN: 22.44 / MAX: 59.33MIN: 20.77 / MAX: 59.12MIN: 22.85 / MAX: 63.15MIN: 20.74 / MAX: 60.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.1Model: Face Detection Retail FP16 - Device: CPUdcba60012001800240030002719.562721.312719.512722.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

42 Results Shown

OpenVINO:
  Person Detection FP32 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    ms
  Person Detection FP16 - CPU:
    FPS
  Machine Translation EN To DE FP16 - CPU:
    FPS
  Person Detection FP16 - CPU:
    ms
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
OpenRadioss:
  Bird Strike on Windshield
  INIVOL and Fluid Structure Interaction Drop Container
OpenVINO:
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
OpenRadioss:
  Bumper Beam
  Cell Phone Drop Test
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Face Detection FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
OpenRadioss
OpenVINO:
  Face Detection FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Weld Porosity Detection FP16 - CPU
  Weld Porosity Detection FP16 - CPU
OpenRadioss
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU