8100 Intel Core i3 Linux

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 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 2009309-FI-8100INTEL87
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8100 Intel Core i3 LinuxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-8100 @ 3.60GHz (4 Cores)ASRock Z370M-ITX/ac (P4.10 BIOS)Intel 8th Gen Core 4-core Desktop8GB60GB DREVO X1 SSDIntel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz)Realtek ALC892VA2431Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGWUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 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 3.8.2Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%121%143%164%185%InfluxDBeSpeak-NG Speech EngineApache CouchDBGROMACSBYTE Unix BenchmarkKeyDBFFTELeelaChessZeroTimed MAFFT AlignmentMlpack BenchmarkNCNNDolfynHierarchical INTegrationLibRawWebP Image EncodeTimed HMMer SearchRealSR-NCNNCaffeTNN

8100 Intel Core i3 Linuxrealsr-ncnn: 4x - Nolczero: BLASlczero: Eigenlczero: Randdolfyn: 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 Compressionbyte: Dhrystone 2libraw: Post-Processing Benchmarkespeak: Text-To-Speech Synthesiscouchdb: 100 - 1000 - 24keydb: gromacs: 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-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressioninfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000123250.64293990224081622.80019448.140985465126.13612.0551.8672.93521.5278.78350.98135583808.224.4834.775188.832273760.530.50934832695778535217317024.7528.367.156.354.476.5010.301.7724.7290.4825.6923.8448.5142.2143.3438.012.3613.658.6312.6025.492.9534.66197.8729.9245.2873.3676.05360.909372.017362585787.0150958.7375.6629.094.27843649.2953921.4250.42094489324107122.73319239.678420561126.13512.1431.8652.93021.4578.75051.09935652755.424.4435.514192.701270281.260.52034817695828536617083624.7128.327.156.354.476.5010.331.7624.7388.7125.6723.8248.4842.1643.2737.7512.3613.648.6112.5825.462.7734.64198.0629.9245.2773.3776.09361.397371.816361612815.4908059.2976.5329.074.19827692.2793797.4250.58095991124059222.74419206.929427191126.19012.0431.8662.93321.4398.75451.20735085353.624.4351.926198.547270228.340.51534817694838543817131224.7228.387.156.364.486.5010.311.7624.7988.7625.5824.0048.5442.2543.2337.7112.3613.628.6112.5825.462.7834.64197.7829.9345.1673.3676.10361.823371.851362494358.4367059.6075.9029.064.29342313.8684847.8OpenBenchmarking.org

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12350100150200250SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3250.64250.42250.58
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12350100150200250Min: 250.6 / Avg: 250.64 / Max: 250.72Min: 250.33 / Avg: 250.42 / Max: 250.57Min: 250.36 / Avg: 250.58 / Max: 251

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 +/- 4.58, N = 3SE +/- 4.63, N = 3SE +/- 6.08, N = 39399449591. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1232004006008001000Min: 933 / Avg: 939 / Max: 948Min: 936 / Avg: 943.67 / Max: 952Min: 948 / Avg: 959 / Max: 9691. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1232004006008001000SE +/- 0.88, N = 3SE +/- 3.28, N = 3SE +/- 7.51, N = 39028939111. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123160320480640800Min: 901 / Avg: 902.33 / Max: 904Min: 888 / Avg: 892.67 / Max: 899Min: 903 / Avg: 911 / Max: 9261. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12350K100K150K200K250KSE +/- 271.35, N = 3SE +/- 399.00, N = 3SE +/- 308.93, N = 32408162410712405921. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12340K80K120K160K200KMin: 240346 / Avg: 240816.33 / Max: 241286Min: 240274 / Avg: 241070.67 / Max: 241509Min: 240233 / Avg: 240592 / Max: 2412071. (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 Dynamics123510152025SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 322.8022.7322.74
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 22.75 / Avg: 22.8 / Max: 22.86Min: 22.7 / Avg: 22.73 / Max: 22.77Min: 22.69 / Avg: 22.74 / Max: 22.78

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 Routine1234K8K12K16K20KSE +/- 38.14, N = 3SE +/- 131.88, N = 3SE +/- 40.31, N = 319448.1419239.6819206.931. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1233K6K9K12K15KMin: 19385.11 / Avg: 19448.14 / Max: 19516.85Min: 18977.2 / Avg: 19239.68 / Max: 19393.32Min: 19126.51 / Avg: 19206.93 / Max: 19251.961. (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 +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3126.14126.14126.191. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 126.11 / Avg: 126.14 / Max: 126.16Min: 126.06 / Avg: 126.13 / Max: 126.24Min: 126.1 / Avg: 126.19 / Max: 126.361. (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 RNA1233691215SE +/- 0.10, N = 15SE +/- 0.17, N = 3SE +/- 0.17, N = 1412.0612.1412.041. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 11.79 / Avg: 12.06 / Max: 13.25Min: 11.96 / Avg: 12.14 / Max: 12.49Min: 11.81 / Avg: 12.04 / Max: 14.311. (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: Default1230.42010.84021.26031.68042.1005SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.8671.8651.8661. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default123246810Min: 1.87 / Avg: 1.87 / Max: 1.87Min: 1.86 / Avg: 1.86 / Max: 1.87Min: 1.87 / Avg: 1.87 / Max: 1.871. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001230.66041.32081.98122.64163.302SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 32.9352.9302.9331. (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: 2.93 / Avg: 2.94 / Max: 2.95Min: 2.93 / Avg: 2.93 / Max: 2.93Min: 2.93 / Avg: 2.93 / Max: 2.941. (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 +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 321.5321.4621.441. (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: 21.45 / Avg: 21.53 / Max: 21.58Min: 21.41 / Avg: 21.46 / Max: 21.55Min: 21.39 / Avg: 21.44 / Max: 21.521. (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 +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 38.7838.7508.7541. (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: 8.77 / Avg: 8.78 / Max: 8.79Min: 8.75 / Avg: 8.75 / Max: 8.75Min: 8.75 / Avg: 8.75 / Max: 8.761. (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 Compression1231224364860SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 350.9851.1051.211. (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, Lossless, Highest Compression1231020304050Min: 50.95 / Avg: 50.98 / Max: 51Min: 51.04 / Avg: 51.1 / Max: 51.21Min: 51.06 / Avg: 51.21 / Max: 51.331. (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 21238M16M24M32M40MSE +/- 106176.28, N = 3SE +/- 106435.80, N = 3SE +/- 422950.56, N = 335583808.235652755.435085353.6
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21236M12M18M24M30MMin: 35446217.6 / Avg: 35583808.17 / Max: 35792681.4Min: 35440015.6 / Avg: 35652755.43 / Max: 35765610.7Min: 34248511.3 / Avg: 35085353.6 / Max: 35610698.8

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 +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 324.4824.4424.431. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark123612182430Min: 24.47 / Avg: 24.48 / Max: 24.49Min: 24.43 / Avg: 24.44 / Max: 24.45Min: 24.42 / Avg: 24.43 / Max: 24.441. (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 Synthesis1231224364860SE +/- 0.44, N = 4SE +/- 0.22, N = 4SE +/- 1.30, N = 2034.7835.5151.931. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis1231020304050Min: 33.85 / Avg: 34.78 / Max: 35.67Min: 34.92 / Avg: 35.51 / Max: 35.94Min: 37.44 / Avg: 51.93 / Max: 58.541. (CC) gcc options: -O2 -std=c99

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: 241234080120160200SE +/- 0.52, N = 3SE +/- 1.00, N = 3SE +/- 2.75, N = 3188.83192.70198.551. (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: 241234080120160200Min: 188.23 / Avg: 188.83 / Max: 189.86Min: 191.41 / Avg: 192.7 / Max: 194.67Min: 193.38 / Avg: 198.55 / Max: 202.761. (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 6.0.1612360K120K180K240K300KSE +/- 1001.21, N = 3SE +/- 1044.91, N = 3SE +/- 2203.01, N = 3273760.53270281.26270228.341. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612350K100K150K200K250KMin: 272175.92 / Avg: 273760.53 / Max: 275613.03Min: 268428.38 / Avg: 270281.26 / Max: 272044.76Min: 265960.3 / Avg: 270228.34 / Max: 273309.821. (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 Benchmark1230.1170.2340.3510.4680.585SE +/- 0.009, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.5090.5200.5151. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.49 / Avg: 0.51 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.52 / Max: 0.521. (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: 1001237K14K21K28K35KSE +/- 13.09, N = 3SE +/- 4.70, N = 3SE +/- 17.49, N = 33483234817348171. (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: 1001236K12K18K24K30KMin: 34806 / Avg: 34831.67 / Max: 34849Min: 34808 / Avg: 34817.33 / Max: 34823Min: 34782 / Avg: 34816.67 / Max: 348381. (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: 20012315K30K45K60K75KSE +/- 36.98, N = 3SE +/- 65.90, N = 3SE +/- 27.67, N = 36957769582694831. (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: 20012312K24K36K48K60KMin: 69507 / Avg: 69576.67 / Max: 69633Min: 69451 / Avg: 69581.67 / Max: 69662Min: 69454 / Avg: 69482.67 / Max: 695381. (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 +/- 35.92, N = 3SE +/- 58.89, N = 3SE +/- 58.71, N = 38535285366854381. (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: 10012315K30K45K60K75KMin: 85307 / Avg: 85352 / Max: 85423Min: 85259 / Avg: 85366.33 / Max: 85462Min: 85349 / Avg: 85438.33 / Max: 855491. (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 +/- 2420.78, N = 4SE +/- 72.06, N = 3SE +/- 546.11, N = 31731701708361713121. (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: 170599 / Avg: 173169.75 / Max: 180430Min: 170693 / Avg: 170836.33 / Max: 170921Min: 170695 / Avg: 171312 / Max: 1724011. (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: squeezenet123612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 324.7524.7124.72MIN: 24.65 / MAX: 34.64MIN: 24.62 / MAX: 34.65MIN: 24.64 / MAX: 27.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123612182430Min: 24.72 / Avg: 24.75 / Max: 24.77Min: 24.69 / Avg: 24.71 / Max: 24.74Min: 24.68 / Avg: 24.72 / Max: 24.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 328.3628.3228.38MIN: 28.21 / MAX: 37.77MIN: 28.2 / MAX: 30.13MIN: 28.2 / MAX: 54.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123612182430Min: 28.29 / Avg: 28.36 / Max: 28.4Min: 28.3 / Avg: 28.32 / Max: 28.34Min: 28.28 / Avg: 28.38 / Max: 28.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.157.157.15MIN: 7.09 / MAX: 8.64MIN: 7.08 / MAX: 8.66MIN: 7.08 / MAX: 9.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 7.14 / Avg: 7.15 / Max: 7.16Min: 7.13 / Avg: 7.15 / Max: 7.16Min: 7.12 / Avg: 7.15 / Max: 7.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.356.356.36MIN: 6.28 / MAX: 8.14MIN: 6.28 / MAX: 7.54MIN: 6.29 / MAX: 7.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 6.33 / Avg: 6.35 / Max: 6.37Min: 6.32 / Avg: 6.35 / Max: 6.37Min: 6.34 / Avg: 6.36 / Max: 6.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21231.0082.0163.0244.0325.04SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.474.474.48MIN: 4.44 / MAX: 5.65MIN: 4.43 / MAX: 5.57MIN: 4.43 / MAX: 5.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 4.45 / Avg: 4.47 / Max: 4.49Min: 4.45 / Avg: 4.47 / Max: 4.49Min: 4.45 / Avg: 4.48 / Max: 4.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.506.506.50MIN: 6.45 / MAX: 7.93MIN: 6.45 / MAX: 7.53MIN: 6.47 / MAX: 7.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215Min: 6.48 / Avg: 6.5 / Max: 6.52Min: 6.48 / Avg: 6.5 / Max: 6.52Min: 6.49 / Avg: 6.5 / Max: 6.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 310.3010.3310.31MIN: 10.26 / MAX: 10.44MIN: 10.26 / MAX: 21.52MIN: 10.27 / MAX: 10.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 10.3 / Avg: 10.3 / Max: 10.31Min: 10.29 / Avg: 10.33 / Max: 10.38Min: 10.29 / Avg: 10.31 / Max: 10.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.39830.79661.19491.59321.9915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.771.761.76MIN: 1.74 / MAX: 1.9MIN: 1.74 / MAX: 1.88MIN: 1.74 / MAX: 1.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.76 / Avg: 1.77 / Max: 1.77Min: 1.75 / Avg: 1.76 / Max: 1.76Min: 1.76 / Avg: 1.76 / Max: 1.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 324.7224.7324.79MIN: 24.62 / MAX: 25.88MIN: 24.65 / MAX: 34.69MIN: 24.64 / MAX: 65.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123612182430Min: 24.71 / Avg: 24.72 / Max: 24.74Min: 24.7 / Avg: 24.73 / Max: 24.76Min: 24.69 / Avg: 24.79 / Max: 24.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 390.4888.7188.76MIN: 90.08 / MAX: 113.36MIN: 88.5 / MAX: 99.21MIN: 88.55 / MAX: 100.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100Min: 90.42 / Avg: 90.48 / Max: 90.54Min: 88.61 / Avg: 88.71 / Max: 88.86Min: 88.64 / Avg: 88.76 / Max: 88.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123612182430SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 325.6925.6725.58MIN: 25.51 / MAX: 72.98MIN: 25.5 / MAX: 66.83MIN: 25.51 / MAX: 27.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123612182430Min: 25.58 / Avg: 25.69 / Max: 25.84Min: 25.56 / Avg: 25.67 / Max: 25.83Min: 25.57 / Avg: 25.58 / Max: 25.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123612182430SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 323.8423.8224.00MIN: 23.77 / MAX: 33.67MIN: 23.75 / MAX: 26.11MIN: 23.93 / MAX: 33.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123612182430Min: 23.82 / Avg: 23.84 / Max: 23.88Min: 23.82 / Avg: 23.82 / Max: 23.83Min: 23.99 / Avg: 24 / Max: 24.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 348.5148.4848.54MIN: 48.35 / MAX: 55.69MIN: 48.31 / MAX: 60.48MIN: 48.37 / MAX: 57.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231020304050Min: 48.47 / Avg: 48.51 / Max: 48.55Min: 48.45 / Avg: 48.48 / Max: 48.53Min: 48.5 / Avg: 48.54 / Max: 48.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1231020304050SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 342.2142.1642.25MIN: 42.07 / MAX: 52.08MIN: 42.02 / MAX: 44.35MIN: 42.09 / MAX: 52.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123918273645Min: 42.2 / Avg: 42.21 / Max: 42.23Min: 42.11 / Avg: 42.16 / Max: 42.19Min: 42.19 / Avg: 42.25 / Max: 42.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet1231020304050SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 343.3443.2743.23MIN: 42.81 / MAX: 43.82MIN: 42.83 / MAX: 44.11MIN: 42.79 / MAX: 43.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet123918273645Min: 43.22 / Avg: 43.34 / Max: 43.55Min: 43.23 / Avg: 43.27 / Max: 43.33Min: 43.19 / Avg: 43.23 / Max: 43.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123918273645SE +/- 0.22, N = 3SE +/- 0.31, N = 3SE +/- 0.28, N = 338.0037.7537.71MIN: 35.24 / MAX: 45.19MIN: 35.25 / MAX: 52.25MIN: 36.17 / MAX: 39.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123816243240Min: 37.7 / Avg: 37.97 / Max: 38.4Min: 37.32 / Avg: 37.75 / Max: 38.36Min: 37.38 / Avg: 37.71 / Max: 38.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 312.3612.3612.36MIN: 12.12 / MAX: 12.6MIN: 12 / MAX: 12.62MIN: 12.11 / MAX: 12.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v212348121620Min: 12.35 / Avg: 12.36 / Max: 12.38Min: 12.35 / Avg: 12.36 / Max: 12.37Min: 12.35 / Avg: 12.36 / Max: 12.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v312348121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 313.6513.6413.62MIN: 12.7 / MAX: 14.54MIN: 13.3 / MAX: 13.68MIN: 13.26 / MAX: 13.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v312348121620Min: 13.63 / Avg: 13.65 / Max: 13.67Min: 13.63 / Avg: 13.64 / Max: 13.64Min: 13.61 / Avg: 13.62 / Max: 13.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.638.618.61MIN: 8.56 / MAX: 8.72MIN: 8.58 / MAX: 8.68MIN: 8.57 / MAX: 8.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21233691215Min: 8.61 / Avg: 8.63 / Max: 8.65Min: 8.61 / Avg: 8.61 / Max: 8.62Min: 8.6 / Avg: 8.61 / Max: 8.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.6012.5812.58MIN: 12.57 / MAX: 12.67MIN: 11.94 / MAX: 12.67MIN: 12.55 / MAX: 12.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet12348121620Min: 12.59 / Avg: 12.6 / Max: 12.62Min: 12.57 / Avg: 12.58 / Max: 12.59Min: 12.57 / Avg: 12.58 / Max: 12.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 325.4925.4625.46MIN: 24.77 / MAX: 25.57MIN: 25.1 / MAX: 25.53MIN: 24.48 / MAX: 25.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123612182430Min: 25.47 / Avg: 25.49 / Max: 25.51Min: 25.45 / Avg: 25.46 / Max: 25.48Min: 25.45 / Avg: 25.46 / Max: 25.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.66381.32761.99142.65523.319SE +/- 0.09, N = 3SE +/- 0.21, N = 3SE +/- 0.14, N = 32.952.772.78MIN: 2.55 / MAX: 3.98MIN: 2.35 / MAX: 16.04MIN: 2.35 / MAX: 3.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface123246810Min: 2.78 / Avg: 2.95 / Max: 3.1Min: 2.41 / Avg: 2.77 / Max: 3.15Min: 2.59 / Avg: 2.78 / Max: 3.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 334.6634.6434.64MIN: 33.97 / MAX: 34.82MIN: 34.15 / MAX: 34.75MIN: 33.94 / MAX: 34.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123714212835Min: 34.63 / Avg: 34.66 / Max: 34.7Min: 34.6 / Avg: 34.64 / Max: 34.67Min: 34.63 / Avg: 34.64 / Max: 34.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161234080120160200SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.21, N = 3197.87198.06197.78MIN: 196.37 / MAX: 199.96MIN: 196.4 / MAX: 200.15MIN: 196.24 / MAX: 199.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161234080120160200Min: 197.71 / Avg: 197.87 / Max: 197.99Min: 197.66 / Avg: 198.06 / Max: 198.32Min: 197.46 / Avg: 197.78 / Max: 198.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18123714212835SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 329.9229.9229.93MIN: 29.59 / MAX: 30.03MIN: 29.35 / MAX: 30.2MIN: 29.35 / MAX: 30.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18123714212835Min: 29.89 / Avg: 29.92 / Max: 29.94Min: 29.91 / Avg: 29.92 / Max: 29.92Min: 29.92 / Avg: 29.93 / Max: 29.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet1231020304050SE +/- 0.10, N = 3SE +/- 0.49, N = 3SE +/- 0.16, N = 345.2845.2745.16MIN: 43.52 / MAX: 47.31MIN: 43.01 / MAX: 48.32MIN: 43.29 / MAX: 47.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet123918273645Min: 45.13 / Avg: 45.28 / Max: 45.46Min: 44.32 / Avg: 45.27 / Max: 45.92Min: 44.86 / Avg: 45.16 / Max: 45.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet501231632486480SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 373.3673.3773.36MIN: 72.89 / MAX: 73.6MIN: 72.72 / MAX: 74.16MIN: 72.79 / MAX: 73.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet501231428425670Min: 73.33 / Avg: 73.36 / Max: 73.39Min: 73.33 / Avg: 73.37 / Max: 73.4Min: 73.35 / Avg: 73.36 / Max: 73.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny12320406080100SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 376.0576.0976.10MIN: 74.54 / MAX: 107.02MIN: 67.88 / MAX: 109.29MIN: 74.55 / MAX: 87.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny1231530456075Min: 75.98 / Avg: 76.05 / Max: 76.16Min: 75.99 / Avg: 76.09 / Max: 76.28Min: 76.02 / Avg: 76.1 / Max: 76.241. (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 v212380160240320400SE +/- 0.34, N = 3SE +/- 0.57, N = 3SE +/- 0.40, N = 3360.91361.40361.82MIN: 359.32 / MAX: 362.5MIN: 359.36 / MAX: 363.38MIN: 360.41 / MAX: 366.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 360.24 / Avg: 360.91 / Max: 361.31Min: 360.44 / Avg: 361.4 / Max: 362.41Min: 361.28 / Avg: 361.82 / Max: 362.611. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112380160240320400SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3372.02371.82371.85MIN: 371.32 / MAX: 372.59MIN: 371.21 / MAX: 372.33MIN: 371.39 / MAX: 372.511. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350Min: 371.74 / Avg: 372.02 / Max: 372.26Min: 371.69 / Avg: 371.82 / Max: 371.98Min: 371.75 / Avg: 371.85 / Max: 372.021. (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 +/- 273136.79, N = 3SE +/- 982928.80, N = 3SE +/- 317316.98, N = 3362585787.02361612815.49362494358.441. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12360M120M180M240M300MMin: 362245445.99 / Avg: 362585787.02 / Max: 363126007.66Min: 359726003.79 / Avg: 361612815.49 / Max: 363034136.89Min: 361871253.27 / Avg: 362494358.44 / Max: 362910195.091. (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_ica1231326395265SE +/- 0.76, N = 5SE +/- 0.33, N = 3SE +/- 0.04, N = 358.7359.2959.60
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231224364860Min: 55.93 / Avg: 58.73 / Max: 59.93Min: 58.62 / Avg: 59.29 / Max: 59.63Min: 59.56 / Avg: 59.6 / Max: 59.68

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda12320406080100SE +/- 0.95, N = 3SE +/- 0.99, N = 4SE +/- 0.37, N = 375.6676.5375.90
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231530456075Min: 73.94 / Avg: 75.66 / Max: 77.2Min: 74.72 / Avg: 76.53 / Max: 79.3Min: 75.41 / Avg: 75.9 / Max: 76.63

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 329.0929.0729.06
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123612182430Min: 29.07 / Avg: 29.09 / Max: 29.11Min: 29.06 / Avg: 29.07 / Max: 29.08Min: 29.03 / Avg: 29.06 / Max: 29.07

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.96531.93062.89593.86124.8265SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 34.274.194.29
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 4.26 / Avg: 4.27 / Max: 4.29Min: 4.17 / Avg: 4.19 / Max: 4.24Min: 4.23 / Avg: 4.29 / Max: 4.34

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 +/- 2560.05, N = 3SE +/- 5278.70, N = 3SE +/- 16232.59, N = 6843649.2827692.2342313.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123150K300K450K600K750KMin: 840049.1 / Avg: 843649.23 / Max: 848602.2Min: 817772.1 / Avg: 827692.17 / Max: 835780.8Min: 284021.7 / Avg: 342313.77 / Max: 387038.2

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KSE +/- 1324.57, N = 3SE +/- 43294.05, N = 9SE +/- 5759.46, N = 3953921.4793797.4684847.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123170K340K510K680K850KMin: 951357.5 / Avg: 953921.37 / Max: 955780.7Min: 656640.8 / Avg: 793797.36 / Max: 974043.7Min: 675067.5 / Avg: 684847.83 / Max: 695008