3300X New

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 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 2009280-FI-3300XNEW187
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
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Machine Learning 6 Tests
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September 27 2020
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3300X NewProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)AMD Starship/Matisse8GB256GB INTEL SSDPEKKW256G7AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Python Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%102%104%107%109%OpenCVLeelaChessZeroBYTE Unix BenchmarkeSpeak-NG Speech EngineApache CouchDBGROMACSInfluxDBLibRawFFTENCNNTimed HMMer SearchTNNWebP Image EncodeNAMDDolfynHierarchical INTegrationMlpack BenchmarkMPVCaffe

3300X Newlczero: BLASlczero: Eigenlczero: Randnamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2libraw: Post-Processing Benchmarkespeak: Text-To-Speech Synthesismpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlycouchdb: 100 - 1000 - 24gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionopencv: DNN - Deep Neural Networkinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 100001236886652279204.3107516.33425965.398717751103.7101.4722.24316.0546.96734.08846642879.630.7428.144175.59319.43112.6710.55937854757279861019725219.8120.895.394.863.205.057.661.4716.9170.0416.5717.9233.8429.70250.394240.733379856539.7832953.3566.4219.403.0440791148083.71215926.11235812.26667122273894.3060716.33625833.142501909103.4951.4692.24815.9406.98033.93146044154.430.8828.463175.95319.12112.8080.55538104764239875919846219.8921.135.514.763.185.047.661.5216.8470.3316.5418.3634.0829.87249.962238.706379820315.5664353.2366.7519.493.0242871154741.01214667.81234016.67917342277214.3186516.37325987.237961360104.0131.4752.24416.0736.95534.36845708214.730.6928.618175.75319.18113.8360.56037907756999874219795519.7220.945.434.743.184.907.811.5217.0270.2716.5718.0833.8529.97250.390239.055380134502.2020353.9965.9019.443.0342871135241.11213725.51231834.8OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1232004006008001000SE +/- 7.18, N = 8SE +/- 7.06, N = 8SE +/- 2.08, N = 36886667911. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS123140280420560700Min: 648 / Avg: 687.75 / Max: 713Min: 623 / Avg: 666.38 / Max: 690Min: 787 / Avg: 791 / Max: 7941. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123160320480640800SE +/- 7.38, N = 7SE +/- 16.24, N = 9SE +/- 4.63, N = 36657127341. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123130260390520650Min: 636 / Avg: 664.71 / Max: 691Min: 584 / Avg: 712.22 / Max: 743Min: 726 / Avg: 734.33 / Max: 7421. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12350K100K150K200K250KSE +/- 149.15, N = 3SE +/- 250.79, N = 3SE +/- 278.97, N = 32279202273892277211. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12340K80K120K160K200KMin: 227636 / Avg: 227920 / Max: 228141Min: 226899 / Avg: 227389.33 / Max: 227726Min: 227279 / Avg: 227721.33 / Max: 2282371. (CXX) g++ options: -flto -pthread

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms1230.97171.94342.91513.88684.8585SE +/- 0.00138, N = 3SE +/- 0.00237, N = 3SE +/- 0.00476, N = 34.310754.306074.31865
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms123246810Min: 4.31 / Avg: 4.31 / Max: 4.31Min: 4.3 / Avg: 4.31 / Max: 4.31Min: 4.31 / Avg: 4.32 / Max: 4.33

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 316.3316.3416.37
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620Min: 16.22 / Avg: 16.33 / Max: 16.39Min: 16.22 / Avg: 16.34 / Max: 16.42Min: 16.31 / Avg: 16.37 / Max: 16.49

FFTE

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1236K12K18K24K30KSE +/- 190.92, N = 3SE +/- 59.58, N = 3SE +/- 32.59, N = 325965.4025833.1425987.241. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1235K10K15K20K25KMin: 25585.19 / Avg: 25965.4 / Max: 26186.05Min: 25737.28 / Avg: 25833.14 / Max: 25942.38Min: 25939.76 / Avg: 25987.24 / Max: 26049.661. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100SE +/- 0.09, N = 3SE +/- 0.28, N = 3SE +/- 0.21, N = 3103.71103.50104.011. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 103.61 / Avg: 103.71 / Max: 103.89Min: 102.98 / Avg: 103.5 / Max: 103.95Min: 103.67 / Avg: 104.01 / Max: 104.41. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1230.33190.66380.99571.32761.6595SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 31.4721.4691.4751. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.47 / Avg: 1.47 / Max: 1.48Min: 1.46 / Avg: 1.47 / Max: 1.47Min: 1.47 / Avg: 1.47 / Max: 1.481. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.50581.01161.51742.02322.529SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 32.2432.2482.2441. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100123246810Min: 2.23 / Avg: 2.24 / Max: 2.25Min: 2.24 / Avg: 2.25 / Max: 2.26Min: 2.23 / Avg: 2.24 / Max: 2.261. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 316.0515.9416.071. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless12348121620Min: 15.77 / Avg: 16.05 / Max: 16.23Min: 15.83 / Avg: 15.94 / Max: 16.17Min: 15.83 / Avg: 16.07 / Max: 16.211. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123246810SE +/- 0.011, N = 3SE +/- 0.022, N = 3SE +/- 0.006, N = 36.9676.9806.9551. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233691215Min: 6.95 / Avg: 6.97 / Max: 6.99Min: 6.94 / Avg: 6.98 / Max: 7.02Min: 6.94 / Avg: 6.95 / Max: 6.961. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123816243240SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 334.0933.9334.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression123714212835Min: 34.02 / Avg: 34.09 / Max: 34.13Min: 33.7 / Avg: 33.93 / Max: 34.07Min: 34.19 / Avg: 34.37 / Max: 34.561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 212310M20M30M40M50MSE +/- 111506.75, N = 3SE +/- 536167.24, N = 3SE +/- 334020.32, N = 346642879.646044154.445708214.7
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21238M16M24M32M40MMin: 46449151.5 / Avg: 46642879.57 / Max: 46835416.7Min: 45045691.9 / Avg: 46044154.4 / Max: 46882104.4Min: 45069603.5 / Avg: 45708214.67 / Max: 46197345.3

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123714212835SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 330.7430.8830.691. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123714212835Min: 30.6 / Avg: 30.74 / Max: 30.85Min: 30.72 / Avg: 30.88 / Max: 31.01Min: 30.63 / Avg: 30.69 / Max: 30.741. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835SE +/- 0.24, N = 4SE +/- 0.09, N = 4SE +/- 0.14, N = 428.1428.4628.621. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123612182430Min: 27.44 / Avg: 28.14 / Max: 28.51Min: 28.29 / Avg: 28.46 / Max: 28.67Min: 28.28 / Avg: 28.62 / Max: 28.961. (CC) gcc options: -O2 -std=c99

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only1234080120160200SE +/- 0.05, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 3175.59175.95175.75MIN: 160.02 / MAX: 181.84MIN: 162.18 / MAX: 181.84MIN: 162.18 / MAX: 181.841. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only123306090120150Min: 175.51 / Avg: 175.59 / Max: 175.67Min: 175.62 / Avg: 175.95 / Max: 176.43Min: 175.58 / Avg: 175.75 / Max: 175.861. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12370140210280350SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3319.43319.12319.18MIN: 307.73 / MAX: 324.37MIN: 315.83 / MAX: 324.36MIN: 307.73 / MAX: 324.361. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12360120180240300Min: 319.4 / Avg: 319.43 / Max: 319.49Min: 319.04 / Avg: 319.12 / Max: 319.22Min: 319.11 / Avg: 319.18 / Max: 319.251. mpv 0.32.0

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24123306090120150SE +/- 0.76, N = 3SE +/- 1.07, N = 3SE +/- 0.89, N = 3112.67112.81113.841. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2412320406080100Min: 111.6 / Avg: 112.67 / Max: 114.13Min: 111.27 / Avg: 112.81 / Max: 114.86Min: 112.9 / Avg: 113.84 / Max: 115.621. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.1260.2520.3780.5040.63SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5590.5550.5601. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.56 / Avg: 0.56 / Max: 0.561. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1001238K16K24K32K40KSE +/- 59.95, N = 3SE +/- 61.07, N = 3SE +/- 73.17, N = 33785438104379071. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1001237K14K21K28K35KMin: 37735 / Avg: 37854.33 / Max: 37924Min: 38038 / Avg: 38104 / Max: 38226Min: 37832 / Avg: 37906.67 / Max: 380531. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012316K32K48K64K80KSE +/- 7.42, N = 3SE +/- 119.56, N = 3SE +/- 69.34, N = 37572776423756991. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012313K26K39K52K65KMin: 75712 / Avg: 75726.67 / Max: 75736Min: 76219 / Avg: 76422.67 / Max: 76633Min: 75604 / Avg: 75699 / Max: 758341. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KSE +/- 53.78, N = 3SE +/- 74.51, N = 3SE +/- 239.08, N = 39861098759987421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KMin: 98503 / Avg: 98609.67 / Max: 98675Min: 98620 / Avg: 98759 / Max: 98875Min: 98434 / Avg: 98742.33 / Max: 992131. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012340K80K120K160K200KSE +/- 139.14, N = 3SE +/- 64.09, N = 3SE +/- 171.89, N = 31972521984621979551. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012330K60K90K120K150KMin: 197012 / Avg: 197252.33 / Max: 197494Min: 198382 / Avg: 198462.33 / Max: 198589Min: 197646 / Avg: 197955 / Max: 1982401. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 319.8119.8919.72MIN: 19.45 / MAX: 84.09MIN: 19.59 / MAX: 85.23MIN: 19.22 / MAX: 87.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025Min: 19.62 / Avg: 19.81 / Max: 19.95Min: 19.69 / Avg: 19.89 / Max: 20.09Min: 19.68 / Avg: 19.72 / Max: 19.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 320.8921.1320.94MIN: 20.34 / MAX: 79.79MIN: 20.6 / MAX: 135.51MIN: 20.27 / MAX: 87.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025Min: 20.65 / Avg: 20.89 / Max: 21.26Min: 21.03 / Avg: 21.13 / Max: 21.32Min: 20.9 / Avg: 20.94 / Max: 20.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21231.23982.47963.71944.95926.199SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 35.395.515.43MIN: 5.26 / MAX: 15.94MIN: 5.25 / MAX: 70.66MIN: 5.25 / MAX: 6.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810Min: 5.37 / Avg: 5.39 / Max: 5.42Min: 5.35 / Avg: 5.51 / Max: 5.84Min: 5.33 / Avg: 5.43 / Max: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.09352.1873.28054.3745.4675SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.864.764.74MIN: 4.67 / MAX: 70.14MIN: 4.67 / MAX: 9.58MIN: 4.66 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 4.74 / Avg: 4.86 / Max: 5.1Min: 4.73 / Avg: 4.76 / Max: 4.81Min: 4.73 / Avg: 4.74 / Max: 4.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21230.721.442.162.883.6SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.203.183.18MIN: 3.16 / MAX: 4.32MIN: 3.15 / MAX: 4.42MIN: 3.15 / MAX: 4.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 3.19 / Avg: 3.2 / Max: 3.21Min: 3.18 / Avg: 3.18 / Max: 3.19Min: 3.18 / Avg: 3.18 / Max: 3.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.13632.27263.40894.54525.6815SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 35.055.044.90MIN: 4.7 / MAX: 71.14MIN: 4.82 / MAX: 73.28MIN: 4.82 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810Min: 4.94 / Avg: 5.05 / Max: 5.19Min: 4.86 / Avg: 5.04 / Max: 5.32Min: 4.86 / Avg: 4.9 / Max: 4.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 37.667.667.81MIN: 7.42 / MAX: 8.79MIN: 7.43 / MAX: 9.07MIN: 7.44 / MAX: 73.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 7.5 / Avg: 7.66 / Max: 7.79Min: 7.48 / Avg: 7.66 / Max: 7.78Min: 7.69 / Avg: 7.81 / Max: 8.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.3420.6841.0261.3681.71SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 31.471.521.52MIN: 1.38 / MAX: 1.56MIN: 1.45 / MAX: 1.57MIN: 1.44 / MAX: 1.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.4 / Avg: 1.47 / Max: 1.55Min: 1.46 / Avg: 1.52 / Max: 1.55Min: 1.46 / Avg: 1.52 / Max: 1.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 316.9116.8417.02MIN: 16.56 / MAX: 85.29MIN: 16.59 / MAX: 26.56MIN: 16.76 / MAX: 84.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620Min: 16.64 / Avg: 16.91 / Max: 17.21Min: 16.72 / Avg: 16.84 / Max: 16.93Min: 16.85 / Avg: 17.02 / Max: 17.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 370.0470.3370.27MIN: 69.21 / MAX: 134.99MIN: 69.45 / MAX: 145.44MIN: 69.43 / MAX: 137.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231428425670Min: 69.8 / Avg: 70.04 / Max: 70.29Min: 70.18 / Avg: 70.33 / Max: 70.45Min: 70.07 / Avg: 70.27 / Max: 70.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 316.5716.5416.57MIN: 16.36 / MAX: 81.22MIN: 16.46 / MAX: 17.25MIN: 16.33 / MAX: 84.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620Min: 16.44 / Avg: 16.57 / Max: 16.77Min: 16.52 / Avg: 16.54 / Max: 16.56Min: 16.4 / Avg: 16.57 / Max: 16.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 317.9218.3618.08MIN: 17.79 / MAX: 19.18MIN: 17.99 / MAX: 81.76MIN: 17.84 / MAX: 65.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123510152025Min: 17.89 / Avg: 17.92 / Max: 17.97Min: 18.09 / Avg: 18.36 / Max: 18.53Min: 17.93 / Avg: 18.08 / Max: 18.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123816243240SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 333.8434.0833.85MIN: 33.48 / MAX: 101.31MIN: 33.69 / MAX: 102.01MIN: 33.37 / MAX: 101.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123714212835Min: 33.61 / Avg: 33.84 / Max: 34Min: 33.97 / Avg: 34.08 / Max: 34.18Min: 33.71 / Avg: 33.85 / Max: 33.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 329.7029.8729.97MIN: 29.36 / MAX: 102.28MIN: 29.61 / MAX: 94.06MIN: 29.43 / MAX: 96.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835Min: 29.45 / Avg: 29.7 / Max: 29.96Min: 29.72 / Avg: 29.87 / Max: 30.16Min: 29.75 / Avg: 29.97 / Max: 30.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 v212350100150200250SE +/- 0.95, N = 3SE +/- 1.39, N = 3SE +/- 0.82, N = 3250.39249.96250.39MIN: 247.95 / MAX: 288.33MIN: 246.61 / MAX: 282.57MIN: 247.08 / MAX: 280.651. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 249.38 / Avg: 250.39 / Max: 252.3Min: 247.52 / Avg: 249.96 / Max: 252.34Min: 249.44 / Avg: 250.39 / Max: 252.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.21, N = 3SE +/- 0.74, N = 3SE +/- 0.70, N = 3240.73238.71239.06MIN: 237.48 / MAX: 242.43MIN: 235.48 / MAX: 249.9MIN: 235.94 / MAX: 247.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 240.36 / Avg: 240.73 / Max: 241.08Min: 237.89 / Avg: 238.71 / Max: 240.19Min: 237.67 / Avg: 239.05 / Max: 239.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12380M160M240M320M400MSE +/- 80927.04, N = 3SE +/- 60537.24, N = 3SE +/- 164211.85, N = 3379856539.78379820315.57380134502.201. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MMin: 379699968.39 / Avg: 379856539.78 / Max: 379970344.55Min: 379730094.82 / Avg: 379820315.57 / Max: 379935350.44Min: 379908227.91 / Avg: 380134502.2 / Max: 380453786.271. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231224364860SE +/- 0.40, N = 3SE +/- 0.23, N = 3SE +/- 0.30, N = 353.3553.2353.99
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231122334455Min: 52.92 / Avg: 53.35 / Max: 54.15Min: 52.81 / Avg: 53.23 / Max: 53.58Min: 53.39 / Avg: 53.99 / Max: 54.31

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231530456075SE +/- 0.90, N = 3SE +/- 0.72, N = 15SE +/- 0.47, N = 366.4266.7565.90
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231326395265Min: 64.84 / Avg: 66.42 / Max: 67.96Min: 64.86 / Avg: 66.75 / Max: 74.99Min: 65.13 / Avg: 65.9 / Max: 66.76

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 319.4019.4919.44
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025Min: 19.33 / Avg: 19.4 / Max: 19.49Min: 19.4 / Avg: 19.49 / Max: 19.6Min: 19.38 / Avg: 19.44 / Max: 19.52

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.6841.3682.0522.7363.42SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.043.023.03
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 3.01 / Avg: 3.04 / Max: 3.08Min: 3.01 / Avg: 3.02 / Max: 3.04Min: 3.01 / Avg: 3.03 / Max: 3.07

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1239001800270036004500SE +/- 127.04, N = 12SE +/- 83.23, N = 15SE +/- 106.08, N = 154079428742871. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1237001400210028003500Min: 3622 / Avg: 4078.58 / Max: 5306Min: 3817 / Avg: 4286.67 / Max: 4826Min: 3822 / Avg: 4287.13 / Max: 49221. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 14015.74, N = 3SE +/- 910.58, N = 3SE +/- 18997.93, N = 31148083.71154741.01135241.1
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1120263.3 / Avg: 1148083.67 / Max: 1164967.6Min: 1152924 / Avg: 1154741.03 / Max: 1155755.7Min: 1097279.9 / Avg: 1135241.13 / Max: 1155626.1

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 445.95, N = 3SE +/- 837.81, N = 3SE +/- 2005.21, N = 31215926.11214667.81213725.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1215410.8 / Avg: 1215926.1 / Max: 1216814.2Min: 1213242.9 / Avg: 1214667.8 / Max: 1216143.8Min: 1210698.6 / Avg: 1213725.47 / Max: 1217517.3

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 569.40, N = 3SE +/- 2518.88, N = 3SE +/- 3050.85, N = 31235812.21234016.61231834.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1234915 / Avg: 1235812.2 / Max: 1236868.2Min: 1229682.9 / Avg: 1234016.63 / Max: 1238408Min: 1227784.9 / Avg: 1231834.8 / Max: 1237812.2