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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209043-PTS-SSS1157922
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September 03 2022
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September 04 2022
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sss - Phoronix Test Suite

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&gru.

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

sssopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUnatron: Spaceshipgravitymark: 1600 x 1200 - Vulkangravitymark: 1920 x 1080 - Vulkangravitymark: 1920 x 1200 - Vulkancompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3openvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUbuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compilebuild-wasmer: Time To CompileABCD1.450.990.97124.433.35209.35157.9717.94333.97215.164352.278485.152.134.731.330.9521364629512.1081.9473.54927.3716.8173.1503.08737.7892763.264034.774116.8532.101193.5419.0825.27222.8023.8818.551.790.93967.88487.01422.971278.432119.12094.1641.430.990.98125.333.35212.74158.518.01336.33213.754453.448596.392.236.431.930.8510044502812.5151.9913.66527.8067.1873.2943.16938.9192787.014019.294073.5731.871192.218.7825.18222.0223.7118.661.740.911001.85290.51523.955286.475125.35997.3561.461.010.99127.43.38213.68159.0618.07336.84214.34427.368614.092.236.131.731.2517344621611.931.9323.47526.9826.7063.1023.03137.2042727.693971.694021.7231.361183.418.725.1221.3323.6718.621.760.91972.30888.42723.285279.949119.42794.0221.491.011128.193.43214.22160.2618.11339.75223.224456.778651.52.136.532.531.9532014798711.9161.9343.44826.7656.6393.0653.00536.9362689.393938.83993.7831.161166.0718.6524.92220.8523.4717.871.740.91944.05887.08922.697277.961119.3993.043OpenBenchmarking.org

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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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-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

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

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

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.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.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.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.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.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.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.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.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.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.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.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.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

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


Phoronix Test Suite v10.8.4