sss

AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2209043-PTS-SSS1157922&rdt.

sssProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCDAMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads)LENOVO 21CM0001US (R22ET51W 1.21 BIOS)AMD Device 14b516GB512GB Micron MTFDKBA512TFKAMD Radeon 680M 1GB (2200/400MHz)AMD Rembrandt Radeon HD AudioQualcomm QCNFA765Ubuntu 22.106.0.0-060000rc2daily20220824-generic (x86_64)GNOME Shell 42.4X Server + Wayland4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48)1.3.211GCC 11.3.0ext41920x1200OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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-11-7Xaroy/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-7Xaroy/gcc-11-11.3.0/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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa404102 - ACPI Profile: balanced Graphics Details- BAR1 / Visible vRAM Size: 1024 MB - vBIOS Version: 113-REMBRANDT-036Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

sssgravitymark: 1600 x 1200 - Vulkangravitymark: 1920 x 1080 - Vulkangravitymark: 1920 x 1200 - Vulkancompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compilebuild-wasmer: Time To Compilemnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUnatron: SpaceshipABCD34.731.330.95213646295967.88487.01422.971278.432119.12094.16412.1081.9473.54927.3716.8173.1503.08737.7891.452763.260.994034.770.974116.85124.4332.103.351193.54209.3519.08157.9725.2717.94222.80333.9723.88215.1618.554352.271.798485.150.932.136.431.930.851004450281001.85290.51523.955286.475125.35997.35612.5151.9913.66527.8067.1873.2943.16938.9191.432787.010.994019.290.984073.57125.3331.873.351192.2212.7418.78158.525.1818.01222.02336.3323.71213.7518.664453.441.748596.390.912.236.131.731.25173446216972.30888.42723.285279.949119.42794.02211.931.9323.47526.9826.7063.1023.03137.2041.462727.691.013971.690.994021.72127.431.363.381183.4213.6818.7159.0625.118.07221.33336.8423.67214.318.624427.361.768614.090.912.236.532.531.95320147987944.05887.08922.697277.961119.3993.04311.9161.9343.44826.7656.6393.0653.00536.9361.492689.391.013938.813993.78128.1931.163.431166.07214.2218.65160.2624.9218.11220.85339.7523.47223.2217.874456.771.748651.50.912.1OpenBenchmarking.org

GravityMark

Resolution: 1600 x 1200 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1600 x 1200 - Renderer: VulkanABCD816243240SE +/- 0.35, N = 1234.736.436.136.5

GravityMark

Resolution: 1920 x 1080 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: VulkanABCD816243240SE +/- 0.39, N = 1231.331.931.732.5

GravityMark

Resolution: 1920 x 1200 - Renderer: Vulkan

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1200 - Renderer: VulkanABCD714212835SE +/- 0.48, N = 1230.930.831.231.9

7-Zip Compression

Test: Compression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABCD11K22K33K44K55KSE +/- 535.31, N = 3521365100451734532011. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

7-Zip Compression

Test: Decompression Rating

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABCD10K20K30K40K50KSE +/- 546.49, N = 3462954502846216479871. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABCD2004006008001000SE +/- 0.44, N = 3967.881001.85972.31944.06

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABCD20406080100SE +/- 0.20, N = 387.0190.5288.4387.09

Timed CPython Compilation

Build Configuration: Default

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultABCD61218243022.9723.9623.2922.70

Timed CPython Compilation

Build Configuration: Released Build, PGO + LTO Optimized

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedABCD60120180240300278.43286.48279.95277.96

Timed Erlang/OTP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABCD306090120150SE +/- 0.28, N = 3119.12125.36119.43119.39

Timed Wasmer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABCD20406080100SE +/- 0.39, N = 394.1697.3694.0293.041. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Mobile Neural Network

Model: nasnet

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABCD3691215SE +/- 0.08, N = 312.1112.5211.9311.92MIN: 11.25 / MAX: 37.76MIN: 11.65 / MAX: 33.39MIN: 11.3 / MAX: 35.49MIN: 11.14 / MAX: 46.261. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenetV3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ABCD0.4480.8961.3441.7922.24SE +/- 0.017, N = 31.9471.9911.9321.934MIN: 1.46 / MAX: 9.36MIN: 1.49 / MAX: 29.21MIN: 1.44 / MAX: 5.29MIN: 1.45 / MAX: 29.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: squeezenetv1.1

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ABCD0.82461.64922.47383.29844.123SE +/- 0.041, N = 33.5493.6653.4753.448MIN: 3.22 / MAX: 39.32MIN: 3.47 / MAX: 6.72MIN: 3.25 / MAX: 21.32MIN: 3.24 / MAX: 5.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ABCD714212835SE +/- 0.08, N = 327.3727.8126.9826.77MIN: 26.24 / MAX: 60.95MIN: 27.21 / MAX: 65.51MIN: 25.95 / MAX: 63.76MIN: 25.72 / MAX: 63.421. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ABCD246810SE +/- 0.047, N = 36.8177.1876.7066.639MIN: 6.34 / MAX: 28.23MIN: 6.73 / MAX: 20.9MIN: 6.44 / MAX: 21.48MIN: 6.44 / MAX: 21.581. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224ABCD0.74121.48242.22362.96483.706SE +/- 0.029, N = 33.1503.2943.1023.065MIN: 2.91 / MAX: 24.05MIN: 3.04 / MAX: 27.62MIN: 2.93 / MAX: 5.16MIN: 2.88 / MAX: 25.471. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0ABCD0.7131.4262.1392.8523.565SE +/- 0.016, N = 33.0873.1693.0313.005MIN: 2.81 / MAX: 38.72MIN: 2.95 / MAX: 22.31MIN: 2.9 / MAX: 6.01MIN: 2.9 / MAX: 4.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ABCD918273645SE +/- 0.17, N = 337.7938.9237.2036.94MIN: 34.24 / MAX: 60.02MIN: 35.21 / MAX: 77.56MIN: 33.98 / MAX: 53.35MIN: 32.13 / MAX: 64.341. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABCD0.33530.67061.00591.34121.6765SE +/- 0.01, N = 31.451.431.461.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABCD6001200180024003000SE +/- 10.85, N = 32763.262787.012727.692689.39MIN: 2669.76 / MAX: 2974.94MIN: 2750.38 / MAX: 2877.54MIN: 2666.59 / MAX: 2776.18MIN: 2436.41 / MAX: 2771.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABCD0.22730.45460.68190.90921.1365SE +/- 0.01, N = 30.990.991.011.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABCD9001800270036004500SE +/- 25.52, N = 34034.774019.293971.693938.80MIN: 3895.05 / MAX: 4148.68MIN: 3918.62 / MAX: 4147.49MIN: 3875.19 / MAX: 4054.68MIN: 3526.61 / MAX: 4036.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABCD0.2250.450.6750.91.125SE +/- 0.01, N = 30.970.980.991.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABCD9001800270036004500SE +/- 23.80, N = 34116.854073.574021.723993.78MIN: 3926.57 / MAX: 4253.63MIN: 3959.5 / MAX: 4185.81MIN: 3906.86 / MAX: 4117.13MIN: 3622.46 / MAX: 4091.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABCD306090120150SE +/- 0.99, N = 3124.43125.33127.40128.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABCD714212835SE +/- 0.25, N = 332.1031.8731.3631.16MIN: 23.64 / MAX: 69.32MIN: 25.27 / MAX: 48.66MIN: 25.19 / MAX: 63.83MIN: 24.68 / MAX: 41.541. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABCD0.77181.54362.31543.08723.859SE +/- 0.02, N = 33.353.353.383.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABCD30060090012001500SE +/- 7.77, N = 31193.541192.201183.401166.07MIN: 1159.03 / MAX: 1257.99MIN: 1166.44 / MAX: 1219.77MIN: 1146.34 / MAX: 1215.09MIN: 1035.16 / MAX: 1207.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABCD50100150200250SE +/- 1.09, N = 3209.35212.74213.68214.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABCD510152025SE +/- 0.10, N = 319.0818.7818.7018.65MIN: 14.67 / MAX: 35.56MIN: 14.86 / MAX: 33.68MIN: 14.75 / MAX: 35.98MIN: 14.54 / MAX: 54.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABCD4080120160200SE +/- 0.07, N = 3157.97158.50159.06160.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABCD612182430SE +/- 0.01, N = 325.2725.1825.1024.92MIN: 21.35 / MAX: 37.58MIN: 21.49 / MAX: 32.5MIN: 21.57 / MAX: 38.67MIN: 21.33 / MAX: 60.11. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABCD48121620SE +/- 0.06, N = 317.9418.0118.0718.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABCD50100150200250SE +/- 0.85, N = 3222.80222.02221.33220.85MIN: 196.27 / MAX: 235.13MIN: 197.4 / MAX: 230.7MIN: 197.53 / MAX: 235.19MIN: 196.79 / MAX: 237.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABCD70140210280350SE +/- 0.14, N = 3333.97336.33336.84339.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABCD612182430SE +/- 0.01, N = 323.8823.7123.6723.47MIN: 20.2 / MAX: 58.07MIN: 20.05 / MAX: 59.28MIN: 20.64 / MAX: 58.43MIN: 20.44 / MAX: 35.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABCD50100150200250SE +/- 2.06, N = 3215.16213.75214.30223.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABCD510152025SE +/- 0.17, N = 318.5518.6618.6217.87MIN: 15.25 / MAX: 54.65MIN: 15.12 / MAX: 53.89MIN: 15.32 / MAX: 34.16MIN: 15.02 / MAX: 54.621. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABCD10002000300040005000SE +/- 16.24, N = 34352.274453.444427.364456.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABCD0.40280.80561.20841.61122.014SE +/- 0.01, N = 31.791.741.761.74MIN: 1.14 / MAX: 19.55MIN: 1.14 / MAX: 19.03MIN: 1.27 / MAX: 17.34MIN: 1.27 / MAX: 12.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABCD2K4K6K8K10KSE +/- 11.11, N = 38485.158596.398614.098651.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABCD0.20930.41860.62790.83721.0465SE +/- 0.00, N = 30.930.910.910.91MIN: 0.55 / MAX: 23.89MIN: 0.55 / MAX: 21.09MIN: 0.68 / MAX: 25.89MIN: 0.59 / MAX: 34.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Natron

Input: Spaceship

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipABCD0.4950.991.4851.982.475SE +/- 0.02, N = 152.12.22.22.1

Phoronix Test Suite v10.8.5