Ryzen 7 1800X Okt

AMD Ryzen 7 1800X Eight-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.G0 BIOS) and Sapphire AMD Radeon HD 4650 on Debian 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 2010129-FI-RYZEN718074
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Bioinformatics 2 Tests
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HPC - High Performance Computing 8 Tests
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Machine Learning 3 Tests
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Speech 2 Tests
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Ryzen 7 1800X OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDisplay ServerDisplay DriverCompilerFile-SystemScreen Resolution123AMD Ryzen 7 1800X Eight-Core @ 3.60GHz (8 Cores / 16 Threads)MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.G0 BIOS)AMD 17h16GB128GB INTEL SSDPEKKW128G7Sapphire AMD Radeon HD 4650AMD RV710/730Intel I211Debian 104.19.0-11-amd64 (x86_64)X Server 1.20.4modesetting 1.20.4GCC 8.3.0ext41024x768OpenBenchmarking.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: acpi-cpufreq ondemand - CPU Microcode: 0x8001137Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Debian-1deb10u1)Python Details- Python 2.7.16 + Python 3.7.3Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%106%112%118%124%FFTEKeyDBInfluxDBeSpeak-NG Speech EngineRNNoiseDolfynSunflow Rendering SystemGROMACSHierarchical INTegrationWebP Image EncodeTimed MAFFT AlignmentLibRawTNNTimed HMMer SearchCaffe

Ryzen 7 1800X Oktdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionlibraw: Post-Processing Benchmarkespeak: Text-To-Speech Synthesisrnnoise: keydb: gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1hint: FLOATsunflow: Global Illumination + Image Synthesisinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 1000012319.63412166.01120.22713.7971.5902.49319.0478.03139.69925.8736.25321.163502477.050.60558272117171142322286358276.621263.078328272160.256381.362780584.5942204.41062377.019.78315076.113667377120.12413.7171.5802.46618.7378.01339.64525.8335.58120.780523550.20.60158926117796142759285435276.041263.632325332997.821691.340840641.9960539.71047964.519.99813772.99120.15513.7321.5782.48719.0098.02039.66025.9335.89920.918525215.530.60758886117929142630285392276.137262.372325484734.498441.348846527.2944106.91063537.8OpenBenchmarking.org

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 Dynamics123510152025SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 319.6319.7820.00
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 19.54 / Avg: 19.63 / Max: 19.79Min: 19.65 / Avg: 19.78 / Max: 20Min: 19.87 / Avg: 20 / Max: 20.2

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KSE +/- 777.18, N = 15SE +/- 127.54, N = 3SE +/- 545.18, N = 1512166.0115076.1113772.991. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KMin: 8842.26 / Avg: 12166.01 / Max: 15724.9Min: 14927.43 / Avg: 15076.11 / Max: 15329.94Min: 8956.49 / Avg: 13772.99 / Max: 15795.31. (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 Search123306090120150SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3120.23120.12120.161. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 119.99 / Avg: 120.23 / Max: 120.4Min: 119.71 / Avg: 120.12 / Max: 120.41Min: 119.77 / Avg: 120.16 / Max: 120.351. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 313.8013.7213.731. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 13.72 / Avg: 13.8 / Max: 13.84Min: 13.68 / Avg: 13.72 / Max: 13.77Min: 13.58 / Avg: 13.73 / Max: 13.851. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: Default1230.35780.71561.07341.43121.789SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.013, N = 31.5901.5801.5781. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.58 / Avg: 1.58 / Max: 1.58Min: 1.55 / Avg: 1.58 / Max: 1.591. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.56091.12181.68272.24362.8045SE +/- 0.002, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 32.4932.4662.4871. (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: 2.49 / Avg: 2.49 / Max: 2.5Min: 2.45 / Avg: 2.47 / Max: 2.48Min: 2.48 / Avg: 2.49 / Max: 2.491. (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, Lossless123510152025SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 319.0518.7419.011. (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, Lossless123510152025Min: 18.95 / Avg: 19.05 / Max: 19.23Min: 18.63 / Avg: 18.74 / Max: 18.8Min: 18.96 / Avg: 19.01 / Max: 19.11. (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 +/- 0.029, N = 3SE +/- 0.007, N = 3SE +/- 0.031, N = 38.0318.0138.0201. (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: 7.99 / Avg: 8.03 / Max: 8.09Min: 8 / Avg: 8.01 / Max: 8.03Min: 7.98 / Avg: 8.02 / Max: 8.081. (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 Compression123918273645SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 339.7039.6539.661. (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 Compression123816243240Min: 39.68 / Avg: 39.7 / Max: 39.72Min: 39.51 / Avg: 39.64 / Max: 39.72Min: 39.18 / Avg: 39.66 / Max: 40.091. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 Benchmark123612182430SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 325.8725.8325.931. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123612182430Min: 25.66 / Avg: 25.87 / Max: 26.09Min: 25.74 / Avg: 25.83 / Max: 25.89Min: 25.49 / Avg: 25.93 / Max: 26.321. (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 Synthesis123816243240SE +/- 0.90, N = 16SE +/- 0.22, N = 4SE +/- 0.15, N = 436.2535.5835.901. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240Min: 31.69 / Avg: 36.25 / Max: 44.63Min: 35.12 / Avg: 35.58 / Max: 36.2Min: 35.47 / Avg: 35.9 / Max: 36.171. (CC) gcc options: -O2 -std=c99

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025SE +/- 0.23, N = 7SE +/- 0.10, N = 3SE +/- 0.07, N = 321.1620.7820.921. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 20.47 / Avg: 21.16 / Max: 22.36Min: 20.67 / Avg: 20.78 / Max: 20.97Min: 20.78 / Avg: 20.92 / Max: 211. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123110K220K330K440K550KSE +/- 904.32, N = 3SE +/- 3137.97, N = 3SE +/- 3053.00, N = 3502477.05523550.20525215.531. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612390K180K270K360K450KMin: 501323.38 / Avg: 502477.05 / Max: 504260.18Min: 519759.5 / Avg: 523550.17 / Max: 529777.2Min: 520335.45 / Avg: 525215.53 / Max: 530833.791. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 Benchmark1230.13660.27320.40980.54640.683SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.000, N = 30.6050.6010.6071. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.6 / Avg: 0.61 / Max: 0.61Min: 0.59 / Avg: 0.6 / Max: 0.61Min: 0.61 / Avg: 0.61 / Max: 0.611. (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: 10012313K26K39K52K65KSE +/- 107.69, N = 3SE +/- 70.33, N = 3SE +/- 33.69, N = 35827258926588861. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012310K20K30K40K50KMin: 58066 / Avg: 58272.33 / Max: 58429Min: 58786 / Avg: 58925.67 / Max: 59010Min: 58819 / Avg: 58886.33 / Max: 589221. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012330K60K90K120K150KSE +/- 147.81, N = 3SE +/- 153.78, N = 3SE +/- 85.67, N = 31171711177961179291. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012320K40K60K80K100KMin: 117007 / Avg: 117171 / Max: 117466Min: 117491 / Avg: 117796.33 / Max: 117981Min: 117770 / Avg: 117928.67 / Max: 1180641. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012330K60K90K120K150KSE +/- 127.01, N = 3SE +/- 81.03, N = 3SE +/- 25.58, N = 31423221427591426301. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012320K40K60K80K100KMin: 142115 / Avg: 142322 / Max: 142553Min: 142625 / Avg: 142759.33 / Max: 142905Min: 142601 / Avg: 142630 / Max: 1426811. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012360K120K180K240K300KSE +/- 2241.14, N = 3SE +/- 106.78, N = 3SE +/- 300.46, N = 32863582854352853921. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20012350K100K150K200K250KMin: 283566 / Avg: 286358.33 / Max: 290791Min: 285233 / Avg: 285435 / Max: 285596Min: 284841 / Avg: 285392.33 / Max: 2858751. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 v212360120180240300SE +/- 0.54, N = 3SE +/- 0.30, N = 3SE +/- 0.25, N = 3276.62276.04276.14MIN: 269.85 / MAX: 289.78MIN: 269.2 / MAX: 296.44MIN: 269.67 / MAX: 295.551. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 275.54 / Avg: 276.62 / Max: 277.2Min: 275.54 / Avg: 276.04 / Max: 276.58Min: 275.65 / Avg: 276.14 / Max: 276.471. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.13, N = 3263.08263.63262.37MIN: 262.26 / MAX: 266.06MIN: 262.7 / MAX: 264.7MIN: 261.48 / MAX: 264.41. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250Min: 262.91 / Avg: 263.08 / Max: 263.3Min: 263.02 / Avg: 263.63 / Max: 263.99Min: 262.15 / Avg: 262.37 / Max: 262.611. (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: FLOAT12370M140M210M280M350MSE +/- 2100603.92, N = 3SE +/- 155856.85, N = 3SE +/- 1306656.70, N = 3328272160.26325332997.82325484734.501. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12360M120M180M240M300MMin: 325066344.88 / Avg: 328272160.26 / Max: 332226593.26Min: 325037992.12 / Avg: 325332997.82 / Max: 325567694.72Min: 323427350.11 / Avg: 325484734.5 / Max: 327908931.011. (CC) gcc options: -O3 -march=native -lm

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis1230.30650.6130.91951.2261.5325SE +/- 0.013, N = 9SE +/- 0.012, N = 3SE +/- 0.021, N = 31.3621.3401.348MIN: 1.2 / MAX: 2MIN: 1.22 / MAX: 1.96MIN: 1.18 / MAX: 1.98
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 1.31 / Avg: 1.36 / Max: 1.42Min: 1.32 / Avg: 1.34 / Max: 1.36Min: 1.31 / Avg: 1.35 / Max: 1.38

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 +/- 8553.03, N = 3SE +/- 11986.82, N = 12SE +/- 11063.88, N = 12780584.5840641.9846527.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123150K300K450K600K750KMin: 763478.5 / Avg: 780584.53 / Max: 789167.1Min: 791425.1 / Avg: 840641.86 / Max: 946117.3Min: 799642.4 / Avg: 846527.18 / Max: 934384.6

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 5785.13, N = 3SE +/- 15786.88, N = 3SE +/- 15035.31, N = 3942204.4960539.7944106.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123170K340K510K680K850KMin: 935141.8 / Avg: 942204.4 / Max: 953672.5Min: 931750.6 / Avg: 960539.73 / Max: 986162.2Min: 914262.2 / Avg: 944106.87 / Max: 962215.7

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 9862.61, N = 3SE +/- 12741.80, N = 6SE +/- 12195.75, N = 31062377.01047964.51063537.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1050215 / Avg: 1062377.03 / Max: 1081907.1Min: 992382.3 / Avg: 1047964.53 / Max: 1083869.9Min: 1040112.4 / Avg: 1063537.77 / Max: 1081136.7