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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A
September 03 2022
  5 Hours, 43 Minutes
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September 04 2022
  1 Hour, 31 Minutes
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September 04 2022
  1 Hour, 29 Minutes
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September 04 2022
  1 Hour, 28 Minutes
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sssOpenBenchmarking.orgPhoronix Test SuiteAMD 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 11.3.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSss PerformanceSystem 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-11-7Xaroy/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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa404102 - ACPI Profile: balanced - BAR1 / Visible vRAM Size: 1024 MB - vBIOS Version: 113-REMBRANDT-036- Python 3.10.6- 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

ABCDResult OverviewPhoronix Test Suite100%102%103%105%Timed Node.js CompilationMobile Neural Network7-Zip CompressionTimed Erlang/OTP CompilationNatronTimed Wasmer CompilationTimed CPython CompilationGravityMarkTimed PHP CompilationOpenVINO

sssbuild-nodejs: Time To Compilegravitymark: 1600 x 1200 - Vulkangravitymark: 1920 x 1200 - Vulkangravitymark: 1920 x 1080 - Vulkanmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnetbuild-python: Released Build, PGO + LTO Optimizednatron: Spaceshipbuild-erlang: Time To Compilebuild-wasmer: Time To Compilebuild-php: Time To Compileopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection 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: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingbuild-python: DefaultABCD967.88434.730.931.337.7893.0873.1506.81727.3713.5491.94712.108278.4322.1119.12094.16487.0144034.770.994116.850.972763.261.451193.543.35222.8017.9418.55215.1625.27157.9719.08209.3532.10124.4323.88333.971.794352.270.938485.15462955213622.9711001.85236.430.831.938.9193.1693.2947.18727.8063.6651.99112.515286.4752.2125.35997.35690.5154019.290.994073.570.982787.011.431192.23.35222.0218.0118.66213.7525.18158.518.78212.7431.87125.3323.71336.331.744453.440.918596.39450285100423.955972.30836.131.231.737.2043.0313.1026.70626.9823.4751.93211.93279.9492.2119.42794.02288.4273971.691.014021.720.992727.691.461183.43.38221.3318.0718.62214.325.1159.0618.7213.6831.36127.423.67336.841.764427.360.918614.09462165173423.285944.05836.531.932.536.9363.0053.0656.63926.7653.4481.93411.916277.9612.1119.3993.04387.0893938.81.013993.7812689.391.491166.073.43220.8518.1117.87223.2224.92160.2618.65214.2231.16128.1923.47339.751.744456.770.918651.5479875320122.697OpenBenchmarking.org

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileDCBA2004006008001000SE +/- 0.44, N = 3944.06972.311001.85967.88

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1600 x 1200 - Renderer: VulkanDCBA816243240SE +/- 0.35, N = 1236.536.136.434.7

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1200 - Renderer: VulkanDCBA714212835SE +/- 0.48, N = 1231.931.230.830.9

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: VulkanDCBA816243240SE +/- 0.39, N = 1232.531.731.931.3

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3DCBA918273645SE +/- 0.17, N = 336.9437.2038.9237.79MIN: 32.13 / MAX: 64.34MIN: 33.98 / MAX: 53.35MIN: 35.21 / MAX: 77.56MIN: 34.24 / MAX: 60.021. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0DCBA0.7131.4262.1392.8523.565SE +/- 0.016, N = 33.0053.0313.1693.087MIN: 2.9 / MAX: 4.97MIN: 2.9 / MAX: 6.01MIN: 2.95 / MAX: 22.31MIN: 2.81 / MAX: 38.721. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224DCBA0.74121.48242.22362.96483.706SE +/- 0.029, N = 33.0653.1023.2943.150MIN: 2.88 / MAX: 25.47MIN: 2.93 / MAX: 5.16MIN: 3.04 / MAX: 27.62MIN: 2.91 / MAX: 24.051. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0DCBA246810SE +/- 0.047, N = 36.6396.7067.1876.817MIN: 6.44 / MAX: 21.58MIN: 6.44 / MAX: 21.48MIN: 6.73 / MAX: 20.9MIN: 6.34 / MAX: 28.231. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50DCBA714212835SE +/- 0.08, N = 326.7726.9827.8127.37MIN: 25.72 / MAX: 63.42MIN: 25.95 / MAX: 63.76MIN: 27.21 / MAX: 65.51MIN: 26.24 / MAX: 60.951. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1DCBA0.82461.64922.47383.29844.123SE +/- 0.041, N = 33.4483.4753.6653.549MIN: 3.24 / MAX: 5.87MIN: 3.25 / MAX: 21.32MIN: 3.47 / MAX: 6.72MIN: 3.22 / MAX: 39.321. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3DCBA0.4480.8961.3441.7922.24SE +/- 0.017, N = 31.9341.9321.9911.947MIN: 1.45 / MAX: 29.47MIN: 1.44 / MAX: 5.29MIN: 1.49 / MAX: 29.21MIN: 1.46 / MAX: 9.361. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetDCBA3691215SE +/- 0.08, N = 311.9211.9312.5212.11MIN: 11.14 / MAX: 46.26MIN: 11.3 / MAX: 35.49MIN: 11.65 / MAX: 33.39MIN: 11.25 / MAX: 37.761. (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

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedDCBA60120180240300277.96279.95286.48278.43

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipDCBA0.4950.991.4851.982.475SE +/- 0.02, N = 152.12.22.22.1

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileDCBA306090120150SE +/- 0.28, N = 3119.39119.43125.36119.12

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileDCBA20406080100SE +/- 0.39, N = 393.0494.0297.3694.161. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileDCBA20406080100SE +/- 0.20, N = 387.0988.4390.5287.01

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 2022.2.devModel: Person Detection FP16 - Device: CPUDCBA9001800270036004500SE +/- 25.52, N = 33938.803971.694019.294034.77MIN: 3526.61 / MAX: 4036.62MIN: 3875.19 / MAX: 4054.68MIN: 3918.62 / MAX: 4147.49MIN: 3895.05 / MAX: 4148.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUDCBA0.22730.45460.68190.90921.1365SE +/- 0.01, N = 31.011.010.990.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUDCBA9001800270036004500SE +/- 23.80, N = 33993.784021.724073.574116.85MIN: 3622.46 / MAX: 4091.07MIN: 3906.86 / MAX: 4117.13MIN: 3959.5 / MAX: 4185.81MIN: 3926.57 / MAX: 4253.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUDCBA0.2250.450.6750.91.125SE +/- 0.01, N = 31.000.990.980.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUDCBA6001200180024003000SE +/- 10.85, N = 32689.392727.692787.012763.26MIN: 2436.41 / MAX: 2771.4MIN: 2666.59 / MAX: 2776.18MIN: 2750.38 / MAX: 2877.54MIN: 2669.76 / MAX: 2974.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUDCBA0.33530.67061.00591.34121.6765SE +/- 0.01, N = 31.491.461.431.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUDCBA30060090012001500SE +/- 7.77, N = 31166.071183.401192.201193.54MIN: 1035.16 / MAX: 1207.11MIN: 1146.34 / MAX: 1215.09MIN: 1166.44 / MAX: 1219.77MIN: 1159.03 / MAX: 1257.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUDCBA0.77181.54362.31543.08723.859SE +/- 0.02, N = 33.433.383.353.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDCBA50100150200250SE +/- 0.85, N = 3220.85221.33222.02222.80MIN: 196.79 / MAX: 237.17MIN: 197.53 / MAX: 235.19MIN: 197.4 / MAX: 230.7MIN: 196.27 / MAX: 235.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUDCBA48121620SE +/- 0.06, N = 318.1118.0718.0117.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDCBA510152025SE +/- 0.17, N = 317.8718.6218.6618.55MIN: 15.02 / MAX: 54.62MIN: 15.32 / MAX: 34.16MIN: 15.12 / MAX: 53.89MIN: 15.25 / MAX: 54.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUDCBA50100150200250SE +/- 2.06, N = 3223.22214.30213.75215.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUDCBA612182430SE +/- 0.01, N = 324.9225.1025.1825.27MIN: 21.33 / MAX: 60.1MIN: 21.57 / MAX: 38.67MIN: 21.49 / MAX: 32.5MIN: 21.35 / MAX: 37.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUDCBA4080120160200SE +/- 0.07, N = 3160.26159.06158.50157.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDCBA510152025SE +/- 0.10, N = 318.6518.7018.7819.08MIN: 14.54 / MAX: 54.42MIN: 14.75 / MAX: 35.98MIN: 14.86 / MAX: 33.68MIN: 14.67 / MAX: 35.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUDCBA50100150200250SE +/- 1.09, N = 3214.22213.68212.74209.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUDCBA714212835SE +/- 0.25, N = 331.1631.3631.8732.10MIN: 24.68 / MAX: 41.54MIN: 25.19 / MAX: 63.83MIN: 25.27 / MAX: 48.66MIN: 23.64 / MAX: 69.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUDCBA306090120150SE +/- 0.99, N = 3128.19127.40125.33124.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDCBA612182430SE +/- 0.01, N = 323.4723.6723.7123.88MIN: 20.44 / MAX: 35.44MIN: 20.64 / MAX: 58.43MIN: 20.05 / MAX: 59.28MIN: 20.2 / MAX: 58.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUDCBA70140210280350SE +/- 0.14, N = 3339.75336.84336.33333.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDCBA0.40280.80561.20841.61122.014SE +/- 0.01, N = 31.741.761.741.79MIN: 1.27 / MAX: 12.19MIN: 1.27 / MAX: 17.34MIN: 1.14 / MAX: 19.03MIN: 1.14 / MAX: 19.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUDCBA10002000300040005000SE +/- 16.24, N = 34456.774427.364453.444352.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDCBA0.20930.41860.62790.83721.0465SE +/- 0.00, N = 30.910.910.910.93MIN: 0.59 / MAX: 34.87MIN: 0.68 / MAX: 25.89MIN: 0.55 / MAX: 21.09MIN: 0.55 / MAX: 23.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUDCBA2K4K6K8K10KSE +/- 11.11, N = 38651.508614.098596.398485.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingDCBA10K20K30K40K50KSE +/- 546.49, N = 3479874621645028462951. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingDCBA11K22K33K44K55KSE +/- 535.31, N = 3532015173451004521361. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultDCBA61218243022.7023.2923.9622.97

44 Results Shown

Timed Node.js Compilation
GravityMark:
  1600 x 1200 - Vulkan
  1920 x 1200 - Vulkan
  1920 x 1080 - Vulkan
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
  nasnet
Timed CPython Compilation
Natron
Timed Erlang/OTP Compilation
Timed Wasmer Compilation
Timed PHP Compilation
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Face Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection 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
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
7-Zip Compression:
  Decompression Rating
  Compression Rating
Timed CPython Compilation