5775C Broadwell 2021

Intel Core i7-5775C testing with a MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS) and MSI Intel Iris Pro 6200 3GB on Ubuntu 18.10 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 2101193-HA-5775CBROA27
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5775C Broadwell 2021ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-5775C @ 3.70GHz (4 Cores / 8 Threads)MSI Z97-G45 GAMING (MS-7821) v1.0 (V2.9 BIOS)Intel Broadwell-U DMI16GB120GB CT120BX100SSD1MSI Intel Iris Pro 6200 3GB (1150MHz)Intel Broadwell-U AudioVA2431Qualcomm Atheros Killer E220xUbuntu 18.105.0.0-999-generic (x86_64) 20190223GNOME Shell 3.30.2X Server 1.20.1modesetting 1.20.14.5 Mesa 19.2.0-devel (git-2631fd3 2019-07-24 cosmic-oibaf-ppa)1.1.102GCC 8.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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 --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x20 - Thermald 1.7Python Details- Python 2.7.16 + Python 3.6.8Security Details- l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

123Result OverviewPhoronix Test Suite 10.2.2100%101%103%104%CloverLeafKripkeQMCPACKWarsowCP2K Molecular DynamicsAlgebraic Multi-Grid BenchmarkLAMMPS Molecular Dynamics SimulatorLULESHMobile Neural Networkrav1eTNNCryptsetupGoogle SynthMarkOpenFOAMTimed Godot Game Engine Compilation

5775C Broadwell 2021amg: cloverleaf: Lagrangian-Eulerian Hydrodynamicscp2k: Fayalite-FIST Datacryptsetup: AES-XTS 256b Decryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: PBKDF2-sha512cryptsetup: Serpent-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Twofish-XTS 512b Decryptioncryptsetup: AES-XTS 256b Encryptionsynthmark: VoiceMark_100kripke: lammps: Rhodopsin Proteinlulesh: mnn: inception-v3mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0openfoam: Motorbike 60Mopenfoam: Motorbike 30Mqmcpack: simple-H2Orav1e: 6rav1e: 5rav1e: 1rav1e: 10build-godot: Time To Compiletnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1warsow: 1920 x 1080123153946400133.011232.8781933.07931771349627596.6575.5371.61588.0372.51581.4597.4575.5372.3372.41927.7638.142371438202.8571123.446549.6866.67636.9563.6654.3661665.51239.1934.6901.2260.9230.3112.706287.036300.158288.149118.3154576400139.431218.3971932.37943751359457598.1575.6372.71587.4372.51571.6598.4574.8372.13721931.0638.804375681602.8711128.907649.9936.59536.5533.7404.4071658.75240.8634.9241.2240.9240.3122.726287.164298.604289.737120.0155002933140.821221.3781935.77947771357112598.2575.8372.51591.5372.11575.2598.7575.8372.4372.41934.6638.736368888832.8531130.172649.1136.72136.4123.6794.3701660.47242.3735.1901.2280.9250.3112.747287.035298.644288.070119.5OpenBenchmarking.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 +/- 414787.54, N = 3SE +/- 176688.62, N = 3SE +/- 193910.71, N = 31539464001545764001550029331. (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 1.212330M60M90M120M150MMin: 153120500 / Avg: 153946400 / Max: 154426900Min: 154232900 / Avg: 154576400 / Max: 154820000Min: 154618200 / Avg: 155002933.33 / Max: 1552376001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics123306090120150SE +/- 1.44, N = 3SE +/- 0.53, N = 3SE +/- 0.12, N = 3133.01139.43140.821. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics123306090120150Min: 130.71 / Avg: 133.01 / Max: 135.66Min: 138.4 / Avg: 139.43 / Max: 140.13Min: 140.63 / Avg: 140.82 / Max: 141.061. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

CP2K Molecular Dynamics

CP2K is an open-source molecular dynamics software package focused on quantum chemistry and solid-state physics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCP2K Molecular Dynamics 8.1Fayalite-FIST Data123300600900120015001232.881218.401221.38

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption123400800120016002000SE +/- 2.09, N = 3SE +/- 1.05, N = 3SE +/- 1.81, N = 31933.01932.31935.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Decryption12330060090012001500Min: 1928.8 / Avg: 1932.97 / Max: 1935.3Min: 1930.7 / Avg: 1932.33 / Max: 1934.3Min: 1933.2 / Avg: 1935.67 / Max: 1939.2

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123200K400K600K800K1000KSE +/- 1198.00, N = 3SE +/- 402.00, N = 3793177794375794777
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpool123140K280K420K560K700KMin: 790781 / Avg: 793177 / Max: 794375Min: 794375 / Avg: 794777 / Max: 795581

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123300K600K900K1200K1500KSE +/- 8552.26, N = 3SE +/- 4100.00, N = 3SE +/- 4110.67, N = 3134962713594571357112
OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512123200K400K600K800K1000KMin: 1334066 / Avg: 1349626.67 / Max: 1363557Min: 1351257 / Avg: 1359457 / Max: 1363557Min: 1353001 / Avg: 1357111.67 / Max: 1365333

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption123130260390520650SE +/- 0.90, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 3596.6598.1598.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Encryption123110220330440550Min: 594.9 / Avg: 596.63 / Max: 597.9Min: 597.8 / Avg: 598.1 / Max: 598.3Min: 598 / Avg: 598.23 / Max: 598.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption123120240360480600SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.00, N = 3575.5575.6575.8
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b Decryption123100200300400500Min: 575.2 / Avg: 575.53 / Max: 575.8Min: 575.4 / Avg: 575.63 / Max: 576Min: 575.8 / Avg: 575.8 / Max: 575.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12380160240320400SE +/- 0.42, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3371.6372.7372.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Encryption12370140210280350Min: 370.8 / Avg: 371.6 / Max: 372.2Min: 372.6 / Avg: 372.73 / Max: 372.8Min: 372.4 / Avg: 372.53 / Max: 372.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption12330060090012001500SE +/- 1.59, N = 3SE +/- 2.84, N = 3SE +/- 1.09, N = 31588.01587.41591.5
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Encryption12330060090012001500Min: 1584.9 / Avg: 1588.03 / Max: 1590.1Min: 1582 / Avg: 1587.43 / Max: 1591.6Min: 1589.4 / Avg: 1591.53 / Max: 1593

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12380160240320400SE +/- 0.09, N = 3SE +/- 0.09, N = 3372.5372.5372.1
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b Decryption12370140210280350Min: 372.4 / Avg: 372.53 / Max: 372.7Min: 372.4 / Avg: 372.53 / Max: 372.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption12330060090012001500SE +/- 2.87, N = 3SE +/- 10.65, N = 3SE +/- 9.46, N = 31581.41571.61575.2
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b Decryption12330060090012001500Min: 1575.8 / Avg: 1581.43 / Max: 1585.2Min: 1550.3 / Avg: 1571.6 / Max: 1582.7Min: 1556.5 / Avg: 1575.17 / Max: 1587.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption123130260390520650SE +/- 0.30, N = 3SE +/- 0.12, N = 3SE +/- 0.35, N = 2597.4598.4598.7
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Encryption123110220330440550Min: 596.8 / Avg: 597.37 / Max: 597.8Min: 598.2 / Avg: 598.37 / Max: 598.6Min: 598.3 / Avg: 598.65 / Max: 599

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption123120240360480600SE +/- 0.22, N = 3SE +/- 0.55, N = 3SE +/- 0.25, N = 3575.5574.8575.8
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b Decryption123100200300400500Min: 575.1 / Avg: 575.53 / Max: 575.8Min: 573.8 / Avg: 574.83 / Max: 575.7Min: 575.5 / Avg: 575.8 / Max: 576.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12380160240320400SE +/- 0.05, N = 2SE +/- 0.30, N = 2SE +/- 0.12, N = 3372.3372.1372.4
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Encryption12370140210280350Min: 372.2 / Avg: 372.25 / Max: 372.3Min: 371.8 / Avg: 372.1 / Max: 372.4Min: 372.2 / Avg: 372.37 / Max: 372.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12380160240320400SE +/- 0.00, N = 2372.4372.0372.4
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b Decryption12370140210280350Min: 372.4 / Avg: 372.4 / Max: 372.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption123400800120016002000SE +/- 1.97, N = 3SE +/- 2.30, N = 3SE +/- 1.07, N = 31927.71931.01934.6
OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b Encryption12330060090012001500Min: 1923.8 / Avg: 1927.73 / Max: 1929.9Min: 1927.7 / Avg: 1930.97 / Max: 1935.4Min: 1932.5 / Avg: 1934.6 / Max: 1936

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_100123140280420560700SE +/- 0.70, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3638.14638.80638.741. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100123110220330440550Min: 636.99 / Avg: 638.14 / Max: 639.4Min: 638.48 / Avg: 638.8 / Max: 639.09Min: 638.62 / Avg: 638.74 / Max: 638.881. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

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 1.2.41238M16M24M32M40MSE +/- 93871.40, N = 3SE +/- 147211.28, N = 3SE +/- 161318.52, N = 33714382037568160368888831. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41237M14M21M28M35MMin: 37012250 / Avg: 37143820 / Max: 37325590Min: 37381380 / Avg: 37568160 / Max: 37858650Min: 36647920 / Avg: 36888883.33 / Max: 371951701. (CXX) g++ options: -O3 -fopenmp

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.6461.2921.9382.5843.23SE +/- 0.015, N = 3SE +/- 0.004, N = 3SE +/- 0.011, N = 32.8572.8712.8531. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 2.83 / Avg: 2.86 / Max: 2.88Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 2.83 / Avg: 2.85 / Max: 2.871. (CXX) g++ options: -O3 -pthread -lm

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31232004006008001000SE +/- 0.93, N = 3SE +/- 2.18, N = 3SE +/- 2.64, N = 31123.451128.911130.171. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.31232004006008001000Min: 1121.92 / Avg: 1123.45 / Max: 1125.13Min: 1124.71 / Avg: 1128.91 / Max: 1132Min: 1126.44 / Avg: 1130.17 / Max: 1135.261. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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: inception-v31231122334455SE +/- 0.13, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 349.6949.9949.11MIN: 49.21 / MAX: 90.12MIN: 49.25 / MAX: 62.09MIN: 48.33 / MAX: 61.971. (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: inception-v31231020304050Min: 49.43 / Avg: 49.69 / Max: 49.82Min: 49.51 / Avg: 49.99 / Max: 50.72Min: 48.44 / Avg: 49.11 / Max: 49.551. (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: SqueezeNetV1.0123246810SE +/- 0.039, N = 3SE +/- 0.006, N = 3SE +/- 0.062, N = 36.6766.5956.721MIN: 6.55 / MAX: 7.87MIN: 6.54 / MAX: 7.74MIN: 6.58 / MAX: 7.891. (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: SqueezeNetV1.01233691215Min: 6.61 / Avg: 6.68 / Max: 6.75Min: 6.58 / Avg: 6.6 / Max: 6.6Min: 6.62 / Avg: 6.72 / Max: 6.831. (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-v2-50123816243240SE +/- 0.08, N = 3SE +/- 0.23, N = 3SE +/- 0.04, N = 336.9636.5536.41MIN: 36.7 / MAX: 49.03MIN: 35.96 / MAX: 49.47MIN: 36.24 / MAX: 70.91. (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-v2-50123816243240Min: 36.84 / Avg: 36.96 / Max: 37.1Min: 36.18 / Avg: 36.55 / Max: 36.98Min: 36.34 / Avg: 36.41 / Max: 36.481. (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_2241230.84151.6832.52453.3664.2075SE +/- 0.003, N = 3SE +/- 0.031, N = 3SE +/- 0.021, N = 33.6653.7403.679MIN: 3.63 / MAX: 15.86MIN: 3.67 / MAX: 7.16MIN: 3.63 / MAX: 15.971. (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: MobileNetV2_224123246810Min: 3.66 / Avg: 3.67 / Max: 3.67Min: 3.71 / Avg: 3.74 / Max: 3.8Min: 3.66 / Avg: 3.68 / Max: 3.721. (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 1.1.1Model: mobilenet-v1-1.01230.99161.98322.97483.96644.958SE +/- 0.008, N = 3SE +/- 0.023, N = 3SE +/- 0.037, N = 34.3664.4074.370MIN: 4.33 / MAX: 16.61MIN: 4.34 / MAX: 6.24MIN: 4.31 / MAX: 14.961. (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-v1-1.0123246810Min: 4.35 / Avg: 4.37 / Max: 4.38Min: 4.37 / Avg: 4.41 / Max: 4.44Min: 4.33 / Avg: 4.37 / Max: 4.441. (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

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M123400800120016002000SE +/- 3.60, N = 3SE +/- 1.16, N = 3SE +/- 3.37, N = 31665.511658.751660.471. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M12330060090012001500Min: 1659.98 / Avg: 1665.51 / Max: 1672.28Min: 1656.6 / Avg: 1658.75 / Max: 1660.56Min: 1656.32 / Avg: 1660.47 / Max: 1667.141. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M12350100150200250SE +/- 3.16, N = 3SE +/- 3.30, N = 3SE +/- 3.12, N = 3239.19240.86242.371. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M1234080120160200Min: 234.52 / Avg: 239.19 / Max: 245.22Min: 236.25 / Avg: 240.86 / Max: 247.26Min: 238.66 / Avg: 242.37 / Max: 248.571. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2O123816243240SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 334.6934.9235.191. (CXX) g++ options: -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -fomit-frame-pointer -ffast-math -lm -pthread
OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.10Input: simple-H2O123816243240Min: 34.59 / Avg: 34.69 / Max: 34.88Min: 34.82 / Avg: 34.92 / Max: 35.08Min: 35.15 / Avg: 35.19 / Max: 35.231. (CXX) g++ options: -fopenmp -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -march=native -O3 -fomit-frame-pointer -ffast-math -lm -pthread

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: 61230.27630.55260.82891.10521.3815SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 31.2261.2241.228
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6123246810Min: 1.22 / Avg: 1.23 / Max: 1.23Min: 1.22 / Avg: 1.22 / Max: 1.23Min: 1.22 / Avg: 1.23 / Max: 1.23

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 51230.20810.41620.62430.83241.0405SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.9230.9240.925
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5123246810Min: 0.92 / Avg: 0.92 / Max: 0.92Min: 0.92 / Avg: 0.92 / Max: 0.93Min: 0.92 / Avg: 0.92 / Max: 0.93

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 11230.07020.14040.21060.28080.351SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.3110.3120.311
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 112312345Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.31

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 101230.61811.23621.85432.47243.0905SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.014, N = 32.7062.7262.747
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10123246810Min: 2.7 / Avg: 2.71 / Max: 2.71Min: 2.72 / Avg: 2.73 / Max: 2.74Min: 2.73 / Avg: 2.75 / Max: 2.78

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 Compile12360120180240300SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3287.04287.16287.04
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile12350100150200250Min: 286.7 / Avg: 287.04 / Max: 287.4Min: 286.81 / Avg: 287.16 / Max: 287.53Min: 286.89 / Avg: 287.04 / Max: 287.17

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 v212370140210280350SE +/- 1.21, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3300.16298.60298.64MIN: 298.51 / MAX: 303.38MIN: 297.9 / MAX: 300.96MIN: 298.01 / MAX: 300.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 298.9 / Avg: 300.16 / Max: 302.58Min: 298.19 / Avg: 298.6 / Max: 298.98Min: 298.34 / Avg: 298.64 / Max: 298.81. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.03, N = 3288.15289.74288.07MIN: 287.56 / MAX: 291.79MIN: 287.84 / MAX: 292.39MIN: 287.78 / MAX: 288.791. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 287.83 / Avg: 288.15 / Max: 288.34Min: 288.45 / Avg: 289.74 / Max: 290.59Min: 288.02 / Avg: 288.07 / Max: 288.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Warsow

This is a benchmark of Warsow, a popular open-source first-person shooter. This game uses the QFusion engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 1080123306090120150SE +/- 0.96, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3118.3120.0119.5
OpenBenchmarking.orgFrames Per Second, More Is BetterWarsow 2.5 BetaResolution: 1920 x 108012320406080100Min: 116.4 / Avg: 118.3 / Max: 119.5Min: 119.6 / Avg: 119.97 / Max: 120.2Min: 119.3 / Avg: 119.47 / Max: 119.6