5600U 2021

Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.10 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 2101176-HA-5600U202110
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5600U 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)Intel Broadwell-U-OPI8GB128GB SAMSUNG MZNTE128Intel HD 5500 3GB (950MHz)Intel Broadwell-U AudioIntel I218-LM + Intel 7265Ubuntu 20.105.9.1-050901-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 21.0.0-devel (git-bd69765 2021-01-01 groovy-oibaf-ppa)OpenCL 3.01.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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: intel_cpufreq ondemand - CPU Microcode: 0x2f - Thermald 2.3Python Details- Python 3.8.6Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

123Result OverviewPhoronix Test Suite 10.2.2100%101%102%103%Mobile Neural Networkdav1dKripkerav1eTNNGoogle SynthMarkAlgebraic Multi-Grid BenchmarkTimed Godot Game Engine Compilation

5600U 2021amg: dav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitrav1e: 1rav1e: 5rav1e: 6rav1e: 10build-godot: Time To Compilesynthmark: VoiceMark_100mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1kripke: 123121336800135.4733.37124.5328.960.1520.4990.6761.716954.646560.56917.81489.97610.11912.108125.763363.231348.64713663510121695967132.5233.07120.6728.670.1490.5010.6731.703953.885559.81118.36693.97610.65112.378128.727362.084348.08213607270121648933131.4033.13121.3628.790.1490.5030.6741.710956.601561.66618.55292.64510.59212.432127.904361.997351.42913715127OpenBenchmarking.org

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.212330M60M90M120M150MSE +/- 282143.95, N = 3SE +/- 173832.32, N = 3SE +/- 206957.45, N = 31213368001216959671216489331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.212320M40M60M80M100MMin: 120786900 / Avg: 121336800 / Max: 121721400Min: 121416500 / Avg: 121695966.67 / Max: 122014800Min: 121239000 / Avg: 121648933.33 / Max: 1219035001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123306090120150SE +/- 1.59, N = 3SE +/- 0.89, N = 3SE +/- 0.99, N = 3135.47132.52131.40MIN: 93.12 / MAX: 234.36MIN: 92.42 / MAX: 233.96MIN: 92.25 / MAX: 230.581. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p123306090120150Min: 132.31 / Avg: 135.47 / Max: 137.38Min: 130.95 / Avg: 132.52 / Max: 134.03Min: 130.16 / Avg: 131.4 / Max: 133.351. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123816243240SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 333.3733.0733.13MIN: 29.93 / MAX: 42.01MIN: 29.84 / MAX: 41.43MIN: 29.88 / MAX: 41.451. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4K123714212835Min: 33.2 / Avg: 33.37 / Max: 33.67Min: 32.9 / Avg: 33.07 / Max: 33.39Min: 33.01 / Avg: 33.13 / Max: 33.311. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p123306090120150SE +/- 0.70, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3124.53120.67121.36MIN: 113.15 / MAX: 139.45MIN: 110.87 / MAX: 133.98MIN: 111.82 / MAX: 134.511. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080p12320406080100Min: 123.36 / Avg: 124.53 / Max: 125.79Min: 120.37 / Avg: 120.67 / Max: 121.15Min: 121.2 / Avg: 121.36 / Max: 121.471. (CC) gcc options: -pthread -ldl -lm

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123714212835SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 328.9628.6728.79MIN: 19.52 / MAX: 66.91MIN: 19.47 / MAX: 66.58MIN: 19.51 / MAX: 66.621. (CC) gcc options: -pthread -ldl -lm
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bit123612182430Min: 28.9 / Avg: 28.96 / Max: 29.06Min: 28.57 / Avg: 28.67 / Max: 28.78Min: 28.73 / Avg: 28.79 / Max: 28.861. (CC) gcc options: -pthread -ldl -lm

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11230.03420.06840.10260.13680.171SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.1520.1490.149
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 112312345Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.11320.22640.33960.45280.566SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4990.5010.503
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.51

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 61230.15210.30420.45630.60840.7605SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.6760.6730.674
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 0.67 / Avg: 0.68 / Max: 0.68Min: 0.67 / Avg: 0.67 / Max: 0.68Min: 0.67 / Avg: 0.67 / Max: 0.68

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.38610.77221.15831.54441.9305SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.7161.7031.710
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 1.71 / Avg: 1.72 / Max: 1.72Min: 1.7 / Avg: 1.7 / Max: 1.71Min: 1.71 / Avg: 1.71 / Max: 1.71

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1232004006008001000SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 3.29, N = 3954.65953.89956.60
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile1232004006008001000Min: 954.38 / Avg: 954.65 / Max: 954.83Min: 953.63 / Avg: 953.88 / Max: 954.09Min: 952.89 / Avg: 956.6 / Max: 963.16

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100123120240360480600SE +/- 0.60, N = 3SE +/- 0.66, N = 3SE +/- 1.09, N = 3560.57559.81561.671. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100123100200300400500Min: 559.41 / Avg: 560.57 / Max: 561.4Min: 558.8 / Avg: 559.81 / Max: 561.05Min: 560.39 / Avg: 561.67 / Max: 563.831. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0123510152025SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 917.8118.3718.55MIN: 14.79 / MAX: 38.95MIN: 16.52 / MAX: 42.59MIN: 16.33 / MAX: 40.891. (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 1.1.1Model: SqueezeNetV1.0123510152025Min: 17.46 / Avg: 17.81 / Max: 18.05Min: 18.05 / Avg: 18.37 / Max: 18.75Min: 18.09 / Avg: 18.55 / Max: 201. (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 1.1.1Model: resnet-v2-5012320406080100SE +/- 1.23, N = 3SE +/- 0.68, N = 3SE +/- 0.65, N = 989.9893.9892.65MIN: 76.16 / MAX: 188.6MIN: 80.98 / MAX: 188.5MIN: 79.03 / MAX: 178.971. (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 1.1.1Model: resnet-v2-5012320406080100Min: 87.75 / Avg: 89.98 / Max: 91.99Min: 92.72 / Avg: 93.98 / Max: 95.05Min: 89.35 / Avg: 92.65 / Max: 95.481. (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 1.1.1Model: MobileNetV2_2241233691215SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 910.1210.6510.59MIN: 8.45 / MAX: 30.96MIN: 8.64 / MAX: 31.82MIN: 8.6 / MAX: 32.71. (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 1.1.1Model: MobileNetV2_2241233691215Min: 9.91 / Avg: 10.12 / Max: 10.27Min: 10.52 / Avg: 10.65 / Max: 10.76Min: 10.37 / Avg: 10.59 / Max: 10.81. (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 1.1.1Model: mobilenet-v1-1.01233691215SE +/- 0.32, N = 3SE +/- 0.27, N = 3SE +/- 0.08, N = 912.1112.3812.43MIN: 9.81 / MAX: 35.53MIN: 10.03 / MAX: 34.36MIN: 9.98 / MAX: 35.441. (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 1.1.1Model: mobilenet-v1-1.012348121620Min: 11.47 / Avg: 12.11 / Max: 12.5Min: 11.92 / Avg: 12.38 / Max: 12.85Min: 11.91 / Avg: 12.43 / Max: 12.671. (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 1.1.1Model: inception-v3123306090120150SE +/- 0.83, N = 3SE +/- 1.49, N = 3SE +/- 0.54, N = 9125.76128.73127.90MIN: 116.19 / MAX: 223.42MIN: 117.9 / MAX: 212.99MIN: 116.91 / MAX: 206.591. (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 1.1.1Model: inception-v312320406080100Min: 124.16 / Avg: 125.76 / Max: 126.96Min: 126.57 / Avg: 128.73 / Max: 131.58Min: 125.46 / Avg: 127.9 / Max: 130.641. (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

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212380160240320400SE +/- 0.84, N = 3SE +/- 0.38, N = 3SE +/- 0.88, N = 3363.23362.08362.00MIN: 357.34 / MAX: 374.36MIN: 356.87 / MAX: 373.6MIN: 356.38 / MAX: 373.591. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 361.57 / Avg: 363.23 / Max: 364.32Min: 361.33 / Avg: 362.08 / Max: 362.51Min: 360.25 / Avg: 362 / Max: 363.071. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112380160240320400SE +/- 1.13, N = 3SE +/- 0.48, N = 3SE +/- 2.17, N = 3348.65348.08351.43MIN: 343.05 / MAX: 354.84MIN: 342.74 / MAX: 359.32MIN: 342.92 / MAX: 362.781. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 346.39 / Avg: 348.65 / Max: 349.96Min: 347.2 / Avg: 348.08 / Max: 348.86Min: 349.24 / Avg: 351.43 / Max: 355.771. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41233M6M9M12M15MSE +/- 140407.16, N = 3SE +/- 108471.55, N = 3SE +/- 50709.89, N = 31366351013607270137151271. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41232M4M6M8M10MMin: 13411080 / Avg: 13663510 / Max: 13896270Min: 13438300 / Avg: 13607270 / Max: 13809590Min: 13646980 / Avg: 13715126.67 / Max: 138142501. (CXX) g++ options: -O3 -fopenmp


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