8700K Okt

Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 3GB 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 2010102-FI-8700KOKT717
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 5 Tests
Creator Workloads 4 Tests
Database Test Suite 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 11 Tests
Machine Learning 6 Tests
Molecular Dynamics 2 Tests
Multi-Core 2 Tests
NVIDIA GPU Compute 4 Tests
Python Tests 3 Tests
Scientific Computing 5 Tests
Server 2 Tests
Single-Threaded 4 Tests
Speech 2 Tests
Telephony 2 Tests

Statistics

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

Graph Settings

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

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
1
October 09 2020
  3 Hours, 49 Minutes
q
October 09 2020
  3 Hours, 36 Minutes
3
October 09 2020
  3 Hours, 27 Minutes
Invert Hiding All Results Option
  3 Hours, 37 Minutes

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


8700K OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution1q3Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads)ASUS TUF Z370-PLUS GAMING (2001 BIOS)Intel 8th Gen Core16GB128GB THNSN5128GPU7 TOSHIBAASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDVA2431Intel I219-VUbuntu 20.045.9.0-050900rc6daily20200923-generic (x86_64) 20200922GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 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: intel_pstate powersave - CPU Microcode: 0xd6Python Details- Python 2.7.18rc1 + Python 3.8.2Security 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

1q3Result OverviewPhoronix Test Suite100%101%102%103%104%Mlpack BenchmarkApache CouchDBFFTETimed MAFFT AlignmentBYTE Unix BenchmarkGROMACSHierarchical INTegrationOpenVINOLeelaChessZeroKeyDBDolfynRNNoiseTimed HMMer SearchdcrawVkFFTDeepSpeechCaffe

8700K Oktvkfft: lczero: BLASlczero: Eigendolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2dcraw: RAW To PPM Image Conversiondeepspeech: CPUrnnoise: couchdb: 100 - 1000 - 24keydb: gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - Intel GPUopenvino: Age Gender Recognition Retail 0013 FP16 - Intel GPUopenvino: Age Gender Recognition Retail 0013 FP32 - Intel GPUopenvino: Age Gender Recognition Retail 0013 FP32 - Intel GPUhint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression1q31258101191017.45530062.862620474109.2259.90546733436.135.39668.7821623.030102.308588347.540.781541951086521368862738342.021970.501.922078.551.203315.991.173334.635430.030.735320.880.752282.481.721714.442.30466135327.5448556.9268.0422.902.701257101190317.40829682.295831337109.2509.93246425051.735.41868.7981222.97199.931589774.710.777541841082601370312740161.962048.741.952066.781.193318.051.183335.485396.300.745359.640.752276.851.721718.332.31465338606.3084054.3865.8022.863.081257100491017.46030235.376695057109.2469.81046440131.935.38668.7769323.023102.052590153.230.782543581085351370352730791.942068.061.952064.291.213315.901.193334.775371.460.745348.290.752278.881.731717.252.30463644642.7119954.7865.2022.842.68OpenBenchmarking.org

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-291q330060090012001500SE +/- 0.33, N = 3SE +/- 0.33, N = 3125812571257
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-291q32004006008001000Min: 1257 / Avg: 1257.67 / Max: 1258Min: 1257 / Avg: 1257.33 / Max: 1258

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: BLAS1q32004006008001000SE +/- 8.76, N = 3SE +/- 7.21, N = 3SE +/- 9.70, N = 31011101110041. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1q32004006008001000Min: 997 / Avg: 1010.67 / Max: 1027Min: 997 / Avg: 1011 / Max: 1021Min: 986 / Avg: 1004.33 / Max: 10191. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1q32004006008001000SE +/- 4.81, N = 3SE +/- 4.26, N = 3SE +/- 6.17, N = 39109039101. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1q3160320480640800Min: 901 / Avg: 910.33 / Max: 917Min: 895 / Avg: 903.33 / Max: 909Min: 898 / Avg: 909.67 / Max: 9191. (CXX) g++ options: -flto -pthread

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 Dynamics1q348121620SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 317.4617.4117.46
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics1q348121620Min: 17.34 / Avg: 17.45 / Max: 17.51Min: 17.33 / Avg: 17.41 / Max: 17.51Min: 17.42 / Avg: 17.46 / Max: 17.5

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 Routine1q36K12K18K24K30KSE +/- 199.11, N = 3SE +/- 46.57, N = 3SE +/- 42.20, N = 330062.8629682.3030235.381. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1q35K10K15K20K25KMin: 29718.24 / Avg: 30062.86 / Max: 30407.98Min: 29592.51 / Avg: 29682.3 / Max: 29748.6Min: 30167.12 / Avg: 30235.38 / Max: 30312.511. (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 Search1q320406080100SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3109.23109.25109.251. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search1q320406080100Min: 109.15 / Avg: 109.23 / Max: 109.36Min: 109.1 / Avg: 109.25 / Max: 109.46Min: 108.85 / Avg: 109.25 / Max: 109.591. (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 RNA1q33691215SE +/- 0.081, N = 3SE +/- 0.081, N = 3SE +/- 0.053, N = 39.9059.9329.8101. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1q33691215Min: 9.8 / Avg: 9.91 / Max: 10.06Min: 9.81 / Avg: 9.93 / Max: 10.08Min: 9.73 / Avg: 9.81 / Max: 9.911. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 21q310M20M30M40M50MSE +/- 21253.58, N = 3SE +/- 197175.04, N = 3SE +/- 159968.45, N = 346733436.146425051.746440131.9
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21q38M16M24M32M40MMin: 46695971.5 / Avg: 46733436.1 / Max: 46769559.4Min: 46090861.1 / Avg: 46425051.7 / Max: 46773451.9Min: 46211068.4 / Avg: 46440131.93 / Max: 46748098.8

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion1q3816243240SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 335.4035.4235.391. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion1q3816243240Min: 35.39 / Avg: 35.4 / Max: 35.41Min: 35.39 / Avg: 35.42 / Max: 35.47Min: 35.37 / Avg: 35.39 / Max: 35.41. (CC) gcc options: -lm

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU1q31530456075SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 368.7868.8068.78
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU1q31326395265Min: 68.6 / Avg: 68.78 / Max: 69.1Min: 68.62 / Avg: 68.8 / Max: 69.14Min: 68.59 / Avg: 68.78 / Max: 69.1

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 2020-06-281q3612182430SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 323.0322.9723.021. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-281q3510152025Min: 22.91 / Avg: 23.03 / Max: 23.1Min: 22.88 / Avg: 22.97 / Max: 23.07Min: 22.95 / Avg: 23.02 / Max: 23.11. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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: 241q320406080100SE +/- 0.09, N = 3SE +/- 0.40, N = 3SE +/- 0.96, N = 3102.3199.93102.051. (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: 241q320406080100Min: 102.13 / Avg: 102.31 / Max: 102.45Min: 99.24 / Avg: 99.93 / Max: 100.63Min: 100.23 / Avg: 102.05 / Max: 103.481. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 6.0.161q3130K260K390K520K650KSE +/- 3241.91, N = 3SE +/- 2262.22, N = 3SE +/- 1824.37, N = 3588347.54589774.71590153.231. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.161q3100K200K300K400K500KMin: 582073.11 / Avg: 588347.54 / Max: 592900.22Min: 585510.53 / Avg: 589774.71 / Max: 593216.55Min: 587016.38 / Avg: 590153.23 / Max: 593335.681. (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 Benchmark1q30.1760.3520.5280.7040.88SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.7810.7770.7821. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1q3246810Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.78 / Avg: 0.78 / Max: 0.781. (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: 1001q312K24K36K48K60KSE +/- 28.37, N = 3SE +/- 50.52, N = 3SE +/- 51.52, N = 35419554184543581. (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: 1001q39K18K27K36K45KMin: 54158 / Avg: 54195.33 / Max: 54251Min: 54118 / Avg: 54183.67 / Max: 54283Min: 54256 / Avg: 54357.67 / Max: 544231. (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: 2001q320K40K60K80K100KSE +/- 90.27, N = 3SE +/- 36.69, N = 3SE +/- 83.06, N = 31086521082601085351. (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: 2001q320K40K60K80K100KMin: 108550 / Avg: 108652 / Max: 108832Min: 108198 / Avg: 108260 / Max: 108325Min: 108370 / Avg: 108535.33 / Max: 1086321. (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: 1001q330K60K90K120K150KSE +/- 191.92, N = 3SE +/- 115.83, N = 3SE +/- 151.20, N = 31368861370311370351. (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: 1001q320K40K60K80K100KMin: 136608 / Avg: 136885.67 / Max: 137254Min: 136892 / Avg: 137031 / Max: 137261Min: 136735 / Avg: 137035.33 / Max: 1372161. (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: 2001q360K120K180K240K300KSE +/- 545.89, N = 3SE +/- 328.48, N = 3SE +/- 107.57, N = 32738342740162730791. (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: 2001q350K100K150K200K250KMin: 273235 / Avg: 273834 / Max: 274924Min: 273648 / Avg: 274015.67 / Max: 274671Min: 272871 / Avg: 273079.33 / Max: 2732301. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1q30.45450.9091.36351.8182.2725SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.021.961.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1q3246810Min: 2 / Avg: 2.02 / Max: 2.05Min: 1.95 / Avg: 1.96 / Max: 1.97Min: 1.92 / Avg: 1.94 / Max: 1.961. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1q3400800120016002000SE +/- 12.60, N = 3SE +/- 8.30, N = 3SE +/- 21.36, N = 31970.502048.742068.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1q3400800120016002000Min: 1949.16 / Avg: 1970.5 / Max: 1992.79Min: 2032.3 / Avg: 2048.74 / Max: 2058.92Min: 2031.34 / Avg: 2068.06 / Max: 2105.341. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1q30.43880.87761.31641.75522.194SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.921.951.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1q3246810Min: 1.92 / Avg: 1.92 / Max: 1.93Min: 1.94 / Avg: 1.95 / Max: 1.95Min: 1.92 / Avg: 1.95 / Max: 1.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1q3400800120016002000SE +/- 6.71, N = 3SE +/- 7.61, N = 3SE +/- 2.53, N = 32078.552066.782064.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1q3400800120016002000Min: 2065.21 / Avg: 2078.55 / Max: 2086.46Min: 2053.81 / Avg: 2066.78 / Max: 2080.17Min: 2060.2 / Avg: 2064.29 / Max: 2068.91. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1q30.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.201.191.211. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1q3246810Min: 1.2 / Avg: 1.2 / Max: 1.21Min: 1.18 / Avg: 1.19 / Max: 1.21Min: 1.2 / Avg: 1.21 / Max: 1.221. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1q37001400210028003500SE +/- 6.83, N = 3SE +/- 11.15, N = 3SE +/- 6.32, N = 33315.993318.053315.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1q36001200180024003000Min: 3303.34 / Avg: 3315.99 / Max: 3326.8Min: 3297.59 / Avg: 3318.05 / Max: 3335.98Min: 3305.67 / Avg: 3315.9 / Max: 3327.451. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1q30.26780.53560.80341.07121.339SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.171.181.191. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1q3246810Min: 1.17 / Avg: 1.17 / Max: 1.18Min: 1.17 / Avg: 1.18 / Max: 1.19Min: 1.16 / Avg: 1.19 / Max: 1.21. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1q37001400210028003500SE +/- 2.93, N = 3SE +/- 7.18, N = 3SE +/- 14.79, N = 33334.633335.483334.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1q36001200180024003000Min: 3328.81 / Avg: 3334.63 / Max: 3338.17Min: 3322.5 / Avg: 3335.48 / Max: 3347.28Min: 3318.16 / Avg: 3334.77 / Max: 3364.271. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1q312002400360048006000SE +/- 62.37, N = 3SE +/- 20.45, N = 3SE +/- 36.79, N = 35430.035396.305371.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1q39001800270036004500Min: 5356.08 / Avg: 5430.03 / Max: 5554.01Min: 5365.58 / Avg: 5396.3 / Max: 5435.05Min: 5325.76 / Avg: 5371.46 / Max: 5444.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1q30.16650.3330.49950.6660.8325SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.730.740.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1q3246810Min: 0.7 / Avg: 0.73 / Max: 0.74Min: 0.73 / Avg: 0.74 / Max: 0.74Min: 0.73 / Avg: 0.74 / Max: 0.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1q311002200330044005500SE +/- 11.61, N = 3SE +/- 36.93, N = 3SE +/- 32.11, N = 35320.885359.645348.291. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1q39001800270036004500Min: 5302.3 / Avg: 5320.88 / Max: 5342.23Min: 5318.67 / Avg: 5359.64 / Max: 5433.34Min: 5302.31 / Avg: 5348.29 / Max: 5410.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1q30.16880.33760.50640.67520.844SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.750.750.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1q3246810Min: 0.74 / Avg: 0.75 / Max: 0.75Min: 0.74 / Avg: 0.75 / Max: 0.75Min: 0.75 / Avg: 0.75 / Max: 0.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU1q35001000150020002500SE +/- 1.45, N = 3SE +/- 4.69, N = 3SE +/- 2.21, N = 32282.482276.852278.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU1q3400800120016002000Min: 2280.06 / Avg: 2282.48 / Max: 2285.06Min: 2269.35 / Avg: 2276.85 / Max: 2285.48Min: 2275.1 / Avg: 2278.88 / Max: 2282.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU1q30.38930.77861.16791.55721.9465SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.721.721.731. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU1q3246810Min: 1.72 / Avg: 1.72 / Max: 1.72Min: 1.71 / Avg: 1.72 / Max: 1.74Min: 1.73 / Avg: 1.73 / Max: 1.741. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU1q3400800120016002000SE +/- 11.81, N = 3SE +/- 5.87, N = 3SE +/- 0.68, N = 31714.441718.331717.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU1q330060090012001500Min: 1696.03 / Avg: 1714.44 / Max: 1736.45Min: 1709.59 / Avg: 1718.33 / Max: 1729.48Min: 1716.07 / Avg: 1717.25 / Max: 1718.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU1q30.51981.03961.55942.07922.599SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 32.302.312.301. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU1q3246810Min: 2.27 / Avg: 2.3 / Max: 2.32Min: 2.28 / Avg: 2.31 / Max: 2.33Min: 2.29 / Avg: 2.3 / Max: 2.311. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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: FLOAT1q3100M200M300M400M500MSE +/- 450905.78, N = 3SE +/- 1066623.68, N = 3SE +/- 509123.31, N = 3466135327.54465338606.31463644642.711. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT1q380M160M240M320M400MMin: 465625458.14 / Avg: 466135327.54 / Max: 467034446.2Min: 463291108.14 / Avg: 465338606.31 / Max: 466880883.76Min: 462635414.07 / Avg: 463644642.71 / Max: 464266358.641. (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_ica1q31326395265SE +/- 0.20, N = 3SE +/- 0.77, N = 3SE +/- 0.47, N = 1256.9254.3854.78
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1q31122334455Min: 56.56 / Avg: 56.92 / Max: 57.24Min: 53.01 / Avg: 54.38 / Max: 55.66Min: 51.44 / Avg: 54.78 / Max: 58.65

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1q31530456075SE +/- 2.39, N = 12SE +/- 0.45, N = 3SE +/- 0.34, N = 368.0465.8065.20
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1q31326395265Min: 63.5 / Avg: 68.04 / Max: 94.07Min: 65.29 / Avg: 65.8 / Max: 66.7Min: 64.57 / Avg: 65.2 / Max: 65.74

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1q3510152025SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 322.9022.8622.84
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1q3510152025Min: 22.83 / Avg: 22.9 / Max: 22.98Min: 22.81 / Avg: 22.86 / Max: 22.95Min: 22.83 / Avg: 22.84 / Max: 22.85

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1q30.6931.3862.0792.7723.465SE +/- 0.02, N = 14SE +/- 0.03, N = 15SE +/- 0.03, N = 32.703.082.68
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1q3246810Min: 2.6 / Avg: 2.7 / Max: 2.87Min: 2.82 / Avg: 3.08 / Max: 3.23Min: 2.62 / Avg: 2.68 / Max: 2.72

39 Results Shown

VkFFT
LeelaChessZero:
  BLAS
  Eigen
Dolfyn
FFTE
Timed HMMer Search
Timed MAFFT Alignment
BYTE Unix Benchmark
dcraw
DeepSpeech
RNNoise
Apache CouchDB
KeyDB
GROMACS
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Face Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - Intel GPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - Intel GPU:
    FPS
    ms
Hierarchical INTegration
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression