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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
A
September 03 2022
  5 Hours, 43 Minutes
B
September 04 2022
  1 Hour, 31 Minutes
C
September 04 2022
  1 Hour, 29 Minutes
D
September 04 2022
  1 Hour, 28 Minutes
Invert Behavior (Only Show Selected Data)
  2 Hours, 33 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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

sssmnn: nasnetmnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224gravitymark: 1920 x 1200 - Vulkanmnn: mobilenetV3mnn: 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 - CPUgravitymark: 1920 x 1080 - Vulkanopenvino: 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 - CPUcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-php: Time To Compilenatron: Spaceshipgravitymark: 1600 x 1200 - Vulkanbuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compilebuild-nodejs: Time To Compilebuild-wasmer: Time To CompileABCD12.1083.54927.3716.8173.15030.91.9473.08737.7891.452763.260.994034.774116.8531.30.97124.4332.103.351193.54209.3519.08157.9725.2717.94222.80333.9723.88215.1618.554352.271.798485.150.93521364629587.0142.134.722.971278.432119.120967.88494.16412.5153.66527.8067.1873.29430.81.9913.16938.9191.432787.010.994019.294073.5731.90.98125.3331.873.351192.2212.7418.78158.525.1818.01222.02336.3323.71213.7518.664453.441.748596.390.91510044502890.5152.236.423.955286.475125.3591001.85297.35611.933.47526.9826.7063.10231.21.9323.03137.2041.462727.691.013971.694021.7231.70.99127.431.363.381183.4213.6818.7159.0625.118.07221.33336.8423.67214.318.624427.361.768614.090.91517344621688.4272.236.123.285279.949119.427972.30894.02211.9163.44826.7656.6393.06531.91.9343.00536.9361.492689.391.013938.83993.7832.51128.1931.163.431166.07214.2218.65160.2624.9218.11220.85339.7523.47223.2217.874456.771.748651.50.91532014798787.0892.136.522.697277.961119.39944.05893.043OpenBenchmarking.org

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: nasnetBACD3691215SE +/- 0.08, N = 312.5212.1111.9311.92MIN: 11.65 / MAX: 33.39MIN: 11.25 / MAX: 37.76MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1BACD0.82461.64922.47383.29844.123SE +/- 0.041, N = 33.6653.5493.4753.448MIN: 3.47 / MAX: 6.72MIN: 3.22 / MAX: 39.32MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50BACD714212835SE +/- 0.08, N = 327.8127.3726.9826.77MIN: 27.21 / MAX: 65.51MIN: 26.24 / MAX: 60.95MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0BACD246810SE +/- 0.047, N = 37.1876.8176.7066.639MIN: 6.73 / MAX: 20.9MIN: 6.34 / MAX: 28.23MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224BACD0.74121.48242.22362.96483.706SE +/- 0.029, N = 33.2943.1503.1023.065MIN: 3.04 / MAX: 27.62MIN: 2.91 / MAX: 24.05MIN: 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

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1200 - Renderer: VulkanBACD714212835SE +/- 0.48, N = 1230.830.931.231.9

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: mobilenetV3BADC0.4480.8961.3441.7922.24SE +/- 0.017, N = 31.9911.9471.9341.932MIN: 1.49 / MAX: 29.21MIN: 1.46 / MAX: 9.36MIN: 1.45 / MAX: 29.47MIN: 1.44 / MAX: 5.291. (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-v1-1.0BACD0.7131.4262.1392.8523.565SE +/- 0.016, N = 33.1693.0873.0313.005MIN: 2.95 / MAX: 22.31MIN: 2.81 / MAX: 38.72MIN: 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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3BACD918273645SE +/- 0.17, N = 338.9237.7937.2036.94MIN: 35.21 / MAX: 77.56MIN: 34.24 / MAX: 60.02MIN: 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

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 2022.2.devModel: Face Detection FP16 - Device: CPUBACD0.33530.67061.00591.34121.6765SE +/- 0.01, N = 31.431.451.461.491. (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: CPUBACD6001200180024003000SE +/- 10.85, N = 32787.012763.262727.692689.39MIN: 2750.38 / MAX: 2877.54MIN: 2669.76 / MAX: 2974.94MIN: 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

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

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

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

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1920 x 1080 - Renderer: VulkanACBD816243240SE +/- 0.39, N = 1231.331.731.932.5

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 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

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

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

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

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

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

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

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

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

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

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

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

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUBCAD50100150200250SE +/- 2.06, N = 3213.75214.30215.16223.221. (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: CPUBCAD510152025SE +/- 0.17, N = 318.6618.6218.5517.87MIN: 15.12 / MAX: 53.89MIN: 15.32 / MAX: 34.16MIN: 15.25 / MAX: 54.65MIN: 15.02 / MAX: 54.621. (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: CPUACBD10002000300040005000SE +/- 16.24, N = 34352.274427.364453.444456.771. (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: CPUACDB0.40280.80561.20841.61122.014SE +/- 0.01, N = 31.791.761.741.74MIN: 1.14 / MAX: 19.55MIN: 1.27 / MAX: 17.34MIN: 1.27 / MAX: 12.19MIN: 1.14 / MAX: 19.031. (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: 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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUADCB0.20930.41860.62790.83721.0465SE +/- 0.00, N = 30.930.910.910.91MIN: 0.55 / MAX: 23.89MIN: 0.59 / MAX: 34.87MIN: 0.68 / MAX: 25.89MIN: 0.55 / MAX: 21.091. (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: Compression RatingBCAD11K22K33K44K55KSE +/- 535.31, N = 3510045173452136532011. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingBCAD10K20K30K40K50KSE +/- 546.49, N = 3450284621646295479871. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 CompileBCDA20406080100SE +/- 0.20, N = 390.5288.4387.0987.01

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: SpaceshipADBC0.4950.991.4851.982.475SE +/- 0.02, N = 152.12.12.22.2

GravityMark

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.70Resolution: 1600 x 1200 - Renderer: VulkanACBD816243240SE +/- 0.35, N = 1234.736.136.436.5

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: DefaultBCAD61218243023.9623.2922.9722.70

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedBCAD60120180240300286.48279.95278.43277.96

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 CompileBCDA306090120150SE +/- 0.28, N = 3125.36119.43119.39119.12

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 CompileBCAD2004006008001000SE +/- 0.44, N = 31001.85972.31967.88944.06

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 CompileBACD20406080100SE +/- 0.39, N = 397.3694.1694.0293.041. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs