Core i3 7100 Xmas Eve

Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.10 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 2012250-HA-COREI371034
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Audio Encoding 3 Tests
Bioinformatics 2 Tests
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Timed Code Compilation 3 Tests
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HPC - High Performance Computing 5 Tests
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December 24 2020
  9 Hours, 21 Minutes
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December 24 2020
  9 Hours, 17 Minutes
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December 25 2020
  9 Hours, 16 Minutes
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1

Compiler Notes: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Security Notes: 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: Not affected

2

3

Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.10, Kernel: 5.8.0-28-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Core i3 7100 Xmas EveProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads)Gigabyte B250M-DS3H-CF (F9 BIOS)Intel Xeon E3-1200 v6/7th + B2508GB250GB Western Digital WDS250G1B0A-Gigabyte Intel HD 630 3GB (1100MHz)Realtek ALC887-VDVA2431Realtek RTL8111/8168/8411Ubuntu 20.105.8.0-28-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,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 Disk Details- MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3 Security 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: Not affected

123Result OverviewPhoronix Test Suite100%101%103%104%105%SQLiteStockfishVKMarkasmFishHPC ChallengeNode.js V8 Web Tooling BenchmarkTimed MAFFT AlignmentoneDNNCoremarkVkResampleBuild2Craftyrav1eASTC EncoderPHPBenchMonkey Audio EncodingVkFFTTimed Eigen CompilationWavPack Audio EncodingNCNNOpus Codec EncodingCLOMPTimed HMMer SearchTimed FFmpeg Compilationsimdjson

Core i3 7100 Xmas Evevkmark: 1920 x 1080vkmark: 1280 x 1024crafty: Elapsed Timeclomp: Static OMP Speedupencode-ape: WAV To APEencode-opus: WAV To Opus Encodeencode-wavpack: WAV To WavPackastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAhpcc: G-HPLhpcc: G-Fftehpcc: EP-DGEMMhpcc: G-Ptranshpcc: EP-STREAM Triadhpcc: G-Rand Accesshpcc: Rand Ring Latencyhpcc: Rand Ring Bandwidthhpcc: Max Ping Pong Bandwidthncnn: 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: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: 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-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400monednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondbuild-ffmpeg: Time To Compilestockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthrav1e: 1rav1e: 5rav1e: 6rav1e: 10build2: Time To Compilebuild-eigen: Time To Compilevkfft: vkresample: 2x - Doublevkresample: 2x - Singlephpbench: PHP Benchmark Suitesqlite: 1node-web-tooling: simdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserID12361490573322071.412.7819.59316.6937.9720.42135.291087.58114.82614.00086.839171.7552347.154431.311249.874790.012700.210355.147018711.35243.1210.639.1815.319.8615.443.8831.51111.3730.8224.9568.557.1747.1118.6043.0710.629.1915.339.8415.323.8631.55111.2930.7524.9368.4357.1547.1918.6015.799515.53616.977304.6941120.753720.042924.575724.019920.064213.364112994.07188.4913022.37192.686.0388912989.97184.0412.352077661.557996232.085423295361440090.2530.7791.0352.404644.78992.84713321011.320523.03465788730.3159.440.490.370.60.6261490673697761.412.7529.59716.6967.9720.42135.421104.70114.83413.86785.294871.7621047.504031.460769.888190.012670.209965.184628813.09743.2410.659.1815.339.9115.413.8731.51111.6330.7524.9668.4257.2347.2818.6243.2010.649.1515.329.8715.363.8731.53111.3230.7624.9368.3657.1847.2418.6715.658014.83656.970304.8169520.633719.968424.623623.943920.024713.344713403.57424.1013494.47437.086.0311213484.97447.3012.352577631.826919232.002404387162574390.2480.7791.0382.406648.38092.73013351010.740532.95765812631.9169.340.490.370.60.6260688173470211.412.7689.59916.7097.9620.42135.311088.46114.82614.00486.813801.7538647.694601.460799.820520.012770.209084.902558644.79343.2410.679.1915.319.8615.363.8831.52111.5930.7424.9468.4257.2647.1518.6043.2610.669.1515.329.8615.373.8731.48111.0930.7224.9068.4257.1947.2618.5815.743416.18177.015594.7098120.744419.861224.603124.053119.928913.323913012.27201.0913017.57207.996.0527113005.47201.5112.340178242.226116231.806410198062404120.2510.7761.0362.406645.34992.92013321006.890538.28665629531.7029.340.490.370.600.62OpenBenchmarking.org

VKMark

VKMark is a collection of Vulkan tests/benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080213130260390520650SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 7.51, N = 36146146061. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10242132004006008001000SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 3.28, N = 39069058811. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time2311.6M3.2M4.8M6.4M8MSE +/- 11879.59, N = 3SE +/- 3975.85, N = 3SE +/- 19203.96, N = 37369776734702173322071. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup3210.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.41.41.41. (CC) gcc options: -fopenmp -O3 -lm

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE2313691215SE +/- 0.07, N = 5SE +/- 0.07, N = 5SE +/- 0.04, N = 512.7512.7712.781. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1233691215SE +/- 0.021, N = 5SE +/- 0.022, N = 5SE +/- 0.022, N = 59.5939.5979.5991. (CXX) g++ options: -fvisibility=hidden -logg -lm

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack12348121620SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.02, N = 516.6916.7016.711. (CXX) g++ options: -rdynamic

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast312246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.967.977.971. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium123510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 320.4220.4220.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough132306090120150SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3135.29135.31135.421. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive1322004006008001000SE +/- 0.37, N = 3SE +/- 0.17, N = 3SE +/- 8.12, N = 31087.581088.461104.701. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 Search132306090120150SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3114.83114.83114.831. (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 RNA21348121620SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 313.8714.0014.001. (CC) gcc options: -std=c99 -O3 -lm -lpthread

HPC Challenge

HPC Challenge (HPCC) is a cluster-focused benchmark consisting of the HPL Linpack TPP benchmark, DGEMM, STREAM, PTRANS, RandomAccess, FFT, and communication bandwidth and latency. This HPC Challenge test profile attempts to ship with standard yet versatile configuration/input files though they can be modified. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPL13220406080100SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.24, N = 386.8486.8185.291. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ffte2130.39650.7931.18951.5861.9825SE +/- 0.00193, N = 3SE +/- 0.00362, N = 3SE +/- 0.00359, N = 31.762101.755231.753861. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMM3211122334455SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.52, N = 347.6947.5047.151. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ptrans3210.32870.65740.98611.31481.6435SE +/- 0.00604, N = 3SE +/- 0.00835, N = 3SE +/- 0.15709, N = 31.460791.460761.311241. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM Triad2133691215SE +/- 0.00967, N = 3SE +/- 0.01832, N = 3SE +/- 0.01214, N = 39.888199.874799.820521. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random Access3120.00290.00580.00870.01160.0145SE +/- 0.00004, N = 3SE +/- 0.00008, N = 3SE +/- 0.00011, N = 30.012770.012700.012671. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Latency3210.04730.09460.14190.18920.2365SE +/- 0.00069, N = 3SE +/- 0.00200, N = 3SE +/- 0.00110, N = 30.209080.209960.210351. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Bandwidth2131.16652.3333.49954.6665.8325SE +/- 0.08185, N = 3SE +/- 0.09024, N = 3SE +/- 0.08913, N = 35.184625.147014.902551. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong Bandwidth2132K4K6K8K10KSE +/- 66.91, N = 3SE +/- 98.36, N = 3SE +/- 80.85, N = 38813.108711.358644.791. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

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 20201218Target: CPU - Model: mobilenet1231020304050SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 343.1243.2443.24MIN: 42.84 / MAX: 53.15MIN: 42.94 / MAX: 54.26MIN: 42.96 / MAX: 53.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 310.6310.6510.67MIN: 10.46 / MAX: 12.77MIN: 10.45 / MAX: 20.53MIN: 10.49 / MAX: 25.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.189.189.19MIN: 9.02 / MAX: 10.67MIN: 9.03 / MAX: 10.57MIN: 9.02 / MAX: 19.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v213248121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 315.3115.3115.33MIN: 15.18 / MAX: 15.94MIN: 15.14 / MAX: 25.64MIN: 15.14 / MAX: 26.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1323691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 39.869.869.91MIN: 9.73 / MAX: 20.02MIN: 9.74 / MAX: 10.66MIN: 9.73 / MAX: 221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b032148121620SE +/- 0.01, N = 3SE +/- 0.05, N = 2SE +/- 0.04, N = 215.3615.4115.44MIN: 15.2 / MAX: 16.15MIN: 15.24 / MAX: 25.3MIN: 15.2 / MAX: 25.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface2130.8731.7462.6193.4924.365SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.873.883.88MIN: 3.81 / MAX: 4.48MIN: 3.82 / MAX: 4.53MIN: 3.82 / MAX: 4.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet123714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 331.5131.5131.52MIN: 31.3 / MAX: 41.74MIN: 31.31 / MAX: 41.35MIN: 31.29 / MAX: 41.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1613220406080100SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3111.37111.59111.63MIN: 110.74 / MAX: 121.81MIN: 110.86 / MAX: 122.85MIN: 110.94 / MAX: 123.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18321714212835SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 330.7430.7530.82MIN: 30.51 / MAX: 41.31MIN: 30.52 / MAX: 41.61MIN: 30.55 / MAX: 41.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet312612182430SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.9424.9524.96MIN: 24.72 / MAX: 35.4MIN: 24.75 / MAX: 34.42MIN: 24.78 / MAX: 34.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet502311530456075SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 368.4268.4268.50MIN: 68.09 / MAX: 79.66MIN: 68.07 / MAX: 79.07MIN: 68.08 / MAX: 122.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231326395265SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 357.1757.2357.26MIN: 56.85 / MAX: 67.25MIN: 56.88 / MAX: 68MIN: 56.9 / MAX: 67.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1321122334455SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 347.1147.1547.28MIN: 46.79 / MAX: 57.46MIN: 46.78 / MAX: 57.9MIN: 46.79 / MAX: 58.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m132510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 318.6018.6018.62MIN: 18.49 / MAX: 28.74MIN: 18.41 / MAX: 29MIN: 18.42 / MAX: 26.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet1231020304050SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 343.0743.2043.26MIN: 42.83 / MAX: 53.49MIN: 42.87 / MAX: 53.52MIN: 42.86 / MAX: 53.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 310.6210.6410.66MIN: 10.45 / MAX: 12.13MIN: 10.46 / MAX: 20.48MIN: 10.45 / MAX: 21.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v32313691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 39.159.159.19MIN: 9.02 / MAX: 10.69MIN: 9.01 / MAX: 10.75MIN: 9.01 / MAX: 19.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v223148121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 315.3215.3215.33MIN: 15.18 / MAX: 27.16MIN: 15.15 / MAX: 25.61MIN: 15.18 / MAX: 25.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1323691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 39.849.869.87MIN: 9.75 / MAX: 10.52MIN: 9.72 / MAX: 20.18MIN: 9.75 / MAX: 19.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b012348121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 215.3215.3615.37MIN: 15.19 / MAX: 16MIN: 15.2 / MAX: 25.21MIN: 15.21 / MAX: 25.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface1230.87081.74162.61243.48324.354SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.863.873.87MIN: 3.81 / MAX: 4.17MIN: 3.82 / MAX: 4.01MIN: 3.81 / MAX: 4.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet321714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 331.4831.5331.55MIN: 31.29 / MAX: 41.94MIN: 31.34 / MAX: 41.26MIN: 31.32 / MAX: 41.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1631220406080100SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3111.09111.29111.32MIN: 110.52 / MAX: 121.85MIN: 110.65 / MAX: 122.03MIN: 110.69 / MAX: 121.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18312714212835SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 330.7230.7530.76MIN: 30.5 / MAX: 40.97MIN: 30.52 / MAX: 40.83MIN: 30.56 / MAX: 41.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet312612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 324.9024.9324.93MIN: 24.72 / MAX: 35.18MIN: 24.74 / MAX: 35MIN: 24.67 / MAX: 34.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet502311530456075SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 368.3668.4268.43MIN: 68.07 / MAX: 79.76MIN: 68.07 / MAX: 79.4MIN: 68.13 / MAX: 78.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231326395265SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 357.1557.1857.19MIN: 56.82 / MAX: 67.66MIN: 56.79 / MAX: 67.52MIN: 56.86 / MAX: 67.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231122334455SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 347.1947.2447.26MIN: 46.77 / MAX: 98.44MIN: 46.79 / MAX: 55.85MIN: 46.76 / MAX: 57.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m312510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 318.5818.6018.67MIN: 18.48 / MAX: 28.89MIN: 18.4 / MAX: 28.6MIN: 18.47 / MAX: 29.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU23148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 315.6615.7415.80MIN: 14.75MIN: 14.72MIN: 14.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU21348121620SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 314.8415.5416.18MIN: 14.45MIN: 15.01MIN: 15.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU213246810SE +/- 0.01316, N = 3SE +/- 0.01584, N = 3SE +/- 0.03839, N = 36.970306.977307.01559MIN: 6.87MIN: 6.86MIN: 6.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1321.08382.16763.25144.33525.419SE +/- 0.05317, N = 3SE +/- 0.00674, N = 3SE +/- 0.00803, N = 34.694114.709814.81695MIN: 4.48MIN: 4.56MIN: 4.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU231510152025SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 320.6320.7420.75MIN: 20.39MIN: 20.47MIN: 20.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU321510152025SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 319.8619.9720.04MIN: 19.64MIN: 19.66MIN: 19.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU132612182430SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 324.5824.6024.62MIN: 24.35MIN: 24.43MIN: 24.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU213612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 323.9424.0224.05MIN: 23.7MIN: 23.78MIN: 23.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU321510152025SE +/- 0.04, N = 3SE +/- 0.26, N = 3SE +/- 0.24, N = 319.9320.0220.06MIN: 19.62MIN: 19.56MIN: 19.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU3213691215SE +/- 0.00, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 313.3213.3413.36MIN: 13.18MIN: 13.14MIN: 13.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1323K6K9K12K15KSE +/- 4.10, N = 3SE +/- 7.57, N = 3SE +/- 76.51, N = 312994.013012.213403.5MIN: 12966.6MIN: 12979.3MIN: 13048.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU13216003200480064008000SE +/- 4.08, N = 3SE +/- 2.75, N = 3SE +/- 4.88, N = 37188.497201.097424.10MIN: 7171.82MIN: 7180.72MIN: 7267.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU3123K6K9K12K15KSE +/- 6.69, N = 3SE +/- 34.32, N = 3SE +/- 5.06, N = 313017.513022.313494.4MIN: 12988.3MIN: 12970.1MIN: 13309.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU13216003200480064008000SE +/- 5.80, N = 3SE +/- 7.86, N = 3SE +/- 4.96, N = 37192.687207.997437.08MIN: 7171.23MIN: 7180.31MIN: 7270.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU213246810SE +/- 0.00495, N = 3SE +/- 0.00365, N = 3SE +/- 0.00775, N = 36.031126.038896.05271MIN: 5.89MIN: 5.92MIN: 5.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1323K6K9K12K15KSE +/- 2.60, N = 3SE +/- 5.12, N = 3SE +/- 28.75, N = 312989.913005.413484.9MIN: 12963.9MIN: 12979.2MIN: 13078.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU13216003200480064008000SE +/- 4.85, N = 3SE +/- 5.32, N = 3SE +/- 7.22, N = 37184.047201.517447.30MIN: 7162.14MIN: 7179.7MIN: 7277.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU3123691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.3412.3512.35MIN: 12.1MIN: 12.13MIN: 12.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second31220K40K60K80K100KSE +/- 631.76, N = 3SE +/- 672.82, N = 3SE +/- 652.47, N = 378242.2377661.5677631.831. (CC) gcc options: -O2 -lrt" -lrt

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile32150100150200250SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.36, N = 3231.81232.00232.09

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time132900K1800K2700K3600K4500KSE +/- 40004.50, N = 3SE +/- 14449.66, N = 3SE +/- 24874.87, N = 34232953410198040438711. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2311.3M2.6M3.9M5.2M6.5MSE +/- 82994.07, N = 3SE +/- 17217.84, N = 3SE +/- 29250.15, N = 3625743962404126144009

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11320.05690.11380.17070.22760.2845SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.2530.2510.248

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 52130.17530.35060.52590.70120.8765SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.7790.7790.776

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 62310.23360.46720.70080.93441.168SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.0381.0361.035

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 103210.54141.08281.62422.16562.707SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.008, N = 32.4062.4062.404

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile132140280420560700SE +/- 0.27, N = 3SE +/- 0.41, N = 3SE +/- 0.56, N = 3644.79645.35648.38

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile21320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 392.7392.8592.92

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 1.1.123130060090012001500SE +/- 1.67, N = 3SE +/- 1.20, N = 31335133213321. (CXX) g++ options: -O3 -pthread

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double3212004006008001000SE +/- 2.44, N = 3SE +/- 4.98, N = 3SE +/- 5.17, N = 31006.891010.741011.321. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Single123120240360480600SE +/- 3.39, N = 3SE +/- 4.10, N = 3SE +/- 4.21, N = 3523.03532.96538.291. (CXX) g++ options: -O3 -pthread

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite213140K280K420K560K700KSE +/- 1397.02, N = 3SE +/- 1373.01, N = 3SE +/- 1397.20, N = 3658126657887656295

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1132714212835SE +/- 0.36, N = 15SE +/- 0.36, N = 3SE +/- 0.04, N = 330.3231.7031.921. (CC) gcc options: -O2 -lz -lm -ldl -lpthread

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1323691215SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 39.449.349.341. Nodejs v12.18.2

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya3210.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.490.491. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom3210.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.370.371. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets3210.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.600.600.601. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID3210.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.620.621. (CXX) g++ options: -O3 -pthread

90 Results Shown

VKMark:
  1920 x 1080
  1280 x 1024
Crafty
CLOMP
Monkey Audio Encoding
Opus Codec Encoding
WavPack Audio Encoding
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Timed HMMer Search
Timed MAFFT Alignment
HPC Challenge:
  G-HPL
  G-Ffte
  EP-DGEMM
  G-Ptrans
  EP-STREAM Triad
  G-Rand Access
  Rand Ring Latency
  Rand Ring Bandwidth
  Max Ping Pong Bandwidth
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Coremark
Timed FFmpeg Compilation
Stockfish
asmFish
rav1e:
  1
  5
  6
  10
Build2
Timed Eigen Compilation
VkFFT
VkResample:
  2x - Double
  2x - Single
PHPBench
SQLite
Node.js V8 Web Tooling Benchmark
simdjson:
  Kostya
  LargeRand
  PartialTweets
  DistinctUserID

1

Compiler Notes: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Security Notes: 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: Not affected

Testing initiated at 24 December 2020 10:43 by user phoronix.

2

Compiler Notes: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Security Notes: 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: Not affected

Testing initiated at 24 December 2020 17:35 by user phoronix.

3

Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.10, Kernel: 5.8.0-28-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Security Notes: 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: Not affected

Testing initiated at 25 December 2020 05:24 by user phoronix.