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.

HTML result view exported from: https://openbenchmarking.org/result/2012250-HA-COREI371034&grt&sro.

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

Core i3 7100 Xmas Eveasmfish: 1024 Hash Memory, 26 Depthastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebuild2: Time To Compileclomp: Static OMP Speedupcoremark: CoreMark Size 666 - Iterations Per Secondcrafty: Elapsed Timehpcc: G-HPLhpcc: G-Fftehpcc: EP-DGEMMhpcc: G-Ptranshpcc: EP-STREAM Triadhpcc: G-Rand Accesshpcc: Rand Ring Latencyhpcc: Rand Ring Bandwidthhpcc: Max Ping Pong Bandwidthencode-ape: WAV To APEncnn: 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_400mnode-web-tooling: onednn: 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 - CPUencode-opus: WAV To Opus Encodephpbench: PHP Benchmark Suiterav1e: 1rav1e: 5rav1e: 6rav1e: 10simdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDsqlite: 1stockfish: Total Timebuild-eigen: Time To Compilebuild-ffmpeg: Time To Compilehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAvkfft: vkmark: 1280 x 1024vkmark: 1920 x 1080vkresample: 2x - Doublevkresample: 2x - Singleencode-wavpack: WAV To WavPack12361440097.9720.42135.291087.58644.7891.477661.557996733220786.839171.7552347.154431.311249.874790.012700.210355.147018711.35212.78143.1210.639.1815.319.8615.443.8831.51111.3730.8224.9568.557.1747.1118.6043.0710.629.1915.339.8415.323.8631.55111.2930.7524.9368.4357.1547.1918.609.4415.799515.53616.977304.6941120.753720.042924.575724.019920.064213.364112994.07188.4913022.37192.686.0388912989.97184.0412.35209.5936578870.2530.7791.0352.4040.490.370.60.6230.315423295392.847232.085114.82614.00013329056141011.320523.03416.69362574397.9720.42135.421104.70648.3801.477631.826919736977685.294871.7621047.504031.460769.888190.012670.209965.184628813.09712.75243.2410.659.1815.339.9115.413.8731.51111.6330.7524.9668.4257.2347.2818.6243.2010.649.1515.329.8715.363.8731.53111.3230.7624.9368.3657.1847.2418.679.3415.658014.83656.970304.8169520.633719.968424.623623.943920.024713.344713403.57424.1013494.47437.086.0311213484.97447.3012.35259.5976581260.2480.7791.0382.4060.490.370.60.6231.916404387192.730232.002114.83413.86713359066141010.740532.95716.69662404127.9620.42135.311088.46645.3491.478242.226116734702186.813801.7538647.694601.460799.820520.012770.209084.902558644.79312.76843.2410.679.1915.319.8615.363.8831.52111.5930.7424.9468.4257.2647.1518.6043.2610.669.1515.329.8615.373.8731.48111.0930.7224.9068.4257.1947.2618.589.3415.743416.18177.015594.7098120.744419.861224.603124.053119.928913.323913012.27201.0913017.57207.996.0527113005.47201.5112.34019.5996562950.2510.7761.0362.4060.490.370.600.6231.702410198092.920231.806114.82614.00413328816061006.890538.28616.709OpenBenchmarking.org

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1231.3M2.6M3.9M5.2M6.5MSE +/- 29250.15, N = 3SE +/- 82994.07, N = 3SE +/- 17217.84, N = 3614400962574396240412

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.977.977.961. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

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

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough123306090120150SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3135.29135.42135.311. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive1232004006008001000SE +/- 0.37, N = 3SE +/- 8.12, N = 3SE +/- 0.17, N = 31087.581104.701088.461. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile123140280420560700SE +/- 0.27, N = 3SE +/- 0.56, N = 3SE +/- 0.41, N = 3644.79648.38645.35

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup1230.3150.630.9451.261.575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.41.41.41. (CC) gcc options: -fopenmp -O3 -lm

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12320K40K60K80K100KSE +/- 672.82, N = 3SE +/- 652.47, N = 3SE +/- 631.76, N = 377661.5677631.8378242.231. (CC) gcc options: -O2 -lrt" -lrt

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.6M3.2M4.8M6.4M8MSE +/- 19203.96, N = 3SE +/- 11879.59, N = 3SE +/- 3975.85, N = 37332207736977673470211. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

HPC Challenge

Test / Class: G-HPL

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-HPL12320406080100SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 386.8485.2986.811. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: G-Ffte

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ffte1230.39650.7931.18951.5861.9825SE +/- 0.00362, N = 3SE +/- 0.00193, N = 3SE +/- 0.00359, N = 31.755231.762101.753861. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: EP-DGEMM

OpenBenchmarking.orgGFLOPS, More Is BetterHPC Challenge 1.5.0Test / Class: EP-DGEMM1231122334455SE +/- 0.52, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 347.1547.5047.691. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: G-Ptrans

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Ptrans1230.32870.65740.98611.31481.6435SE +/- 0.15709, N = 3SE +/- 0.00835, N = 3SE +/- 0.00604, N = 31.311241.460761.460791. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: EP-STREAM Triad

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: EP-STREAM Triad1233691215SE +/- 0.01832, N = 3SE +/- 0.00967, N = 3SE +/- 0.01214, N = 39.874799.888199.820521. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: G-Random Access

OpenBenchmarking.orgGUP/s, More Is BetterHPC Challenge 1.5.0Test / Class: G-Random Access1230.00290.00580.00870.01160.0145SE +/- 0.00008, N = 3SE +/- 0.00011, N = 3SE +/- 0.00004, N = 30.012700.012670.012771. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: Random Ring Latency

OpenBenchmarking.orgusecs, Fewer Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Latency1230.04730.09460.14190.18920.2365SE +/- 0.00110, N = 3SE +/- 0.00200, N = 3SE +/- 0.00069, N = 30.210350.209960.209081. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: Random Ring Bandwidth

OpenBenchmarking.orgGB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Random Ring Bandwidth1231.16652.3333.49954.6665.8325SE +/- 0.09024, N = 3SE +/- 0.08185, N = 3SE +/- 0.08913, N = 35.147015.184624.902551. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

HPC Challenge

Test / Class: Max Ping Pong Bandwidth

OpenBenchmarking.orgMB/s, More Is BetterHPC Challenge 1.5.0Test / Class: Max Ping Pong Bandwidth1232K4K6K8K10KSE +/- 98.36, N = 3SE +/- 66.91, N = 3SE +/- 80.85, N = 38711.358813.108644.791. (CC) gcc options: -lblas -lm -pthread -lmpi -fomit-frame-pointer -funroll-loops2. ATLAS + Open MPI 4.0.3

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE1233691215SE +/- 0.04, N = 5SE +/- 0.07, N = 5SE +/- 0.07, N = 512.7812.7512.771. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

NCNN

Target: CPU - Model: mobilenet

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

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v212348121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 315.3115.3315.31MIN: 15.18 / MAX: 15.94MIN: 15.14 / MAX: 26.25MIN: 15.14 / MAX: 25.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet1233691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 39.869.919.86MIN: 9.73 / MAX: 20.02MIN: 9.73 / MAX: 22MIN: 9.74 / MAX: 10.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620SE +/- 0.04, N = 2SE +/- 0.05, N = 2SE +/- 0.01, N = 315.4415.4115.36MIN: 15.2 / MAX: 25.72MIN: 15.24 / MAX: 25.3MIN: 15.2 / MAX: 16.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1230.8731.7462.6193.4924.365SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.883.873.88MIN: 3.82 / MAX: 4.53MIN: 3.81 / MAX: 4.48MIN: 3.82 / MAX: 4.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

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

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1612320406080100SE +/- 0.11, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3111.37111.63111.59MIN: 110.74 / MAX: 121.81MIN: 110.94 / MAX: 123.3MIN: 110.86 / MAX: 122.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18123714212835SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 330.8230.7530.74MIN: 30.55 / MAX: 41.04MIN: 30.52 / MAX: 41.61MIN: 30.51 / MAX: 41.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 324.9524.9624.94MIN: 24.75 / MAX: 34.42MIN: 24.78 / MAX: 34.8MIN: 24.72 / MAX: 35.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231530456075SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 368.5068.4268.42MIN: 68.08 / MAX: 122.19MIN: 68.09 / MAX: 79.66MIN: 68.07 / MAX: 79.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

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

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd1231122334455SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 347.1147.2847.15MIN: 46.79 / MAX: 57.46MIN: 46.79 / MAX: 58.17MIN: 46.78 / MAX: 57.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m123510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 318.6018.6218.60MIN: 18.49 / MAX: 28.74MIN: 18.42 / MAX: 26.27MIN: 18.41 / MAX: 291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

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

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v31233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.199.159.15MIN: 9.01 / MAX: 19.17MIN: 9.02 / MAX: 10.69MIN: 9.01 / MAX: 10.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v212348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 315.3315.3215.32MIN: 15.18 / MAX: 25.5MIN: 15.18 / MAX: 27.16MIN: 15.15 / MAX: 25.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet1233691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 39.849.879.86MIN: 9.75 / MAX: 10.52MIN: 9.75 / MAX: 19.76MIN: 9.72 / MAX: 20.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

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

NCNN

Target: Vulkan GPU - Model: blazeface

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

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet123714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 331.5531.5331.48MIN: 31.32 / MAX: 41.79MIN: 31.34 / MAX: 41.26MIN: 31.29 / MAX: 41.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3111.29111.32111.09MIN: 110.65 / MAX: 122.03MIN: 110.69 / MAX: 121.89MIN: 110.52 / MAX: 121.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123714212835SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 330.7530.7630.72MIN: 30.52 / MAX: 40.83MIN: 30.56 / MAX: 41.08MIN: 30.5 / MAX: 40.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 324.9324.9324.90MIN: 24.74 / MAX: 35MIN: 24.67 / MAX: 34.83MIN: 24.72 / MAX: 35.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501231530456075SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 368.4368.3668.42MIN: 68.13 / MAX: 78.66MIN: 68.07 / MAX: 79.76MIN: 68.07 / MAX: 79.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

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

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

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

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m123510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 318.6018.6718.58MIN: 18.4 / MAX: 28.6MIN: 18.47 / MAX: 29.58MIN: 18.48 / MAX: 28.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 39.449.349.341. Nodejs v12.18.2

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU12348121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.8015.6615.74MIN: 14.73MIN: 14.75MIN: 14.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 315.5414.8416.18MIN: 15.01MIN: 14.45MIN: 15.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.01584, N = 3SE +/- 0.01316, N = 3SE +/- 0.03839, N = 36.977306.970307.01559MIN: 6.86MIN: 6.87MIN: 6.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1231.08382.16763.25144.33525.419SE +/- 0.05317, N = 3SE +/- 0.00803, N = 3SE +/- 0.00674, N = 34.694114.816954.70981MIN: 4.48MIN: 4.39MIN: 4.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 320.7520.6320.74MIN: 20.42MIN: 20.39MIN: 20.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123510152025SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 320.0419.9719.86MIN: 19.64MIN: 19.66MIN: 19.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 324.5824.6224.60MIN: 24.35MIN: 24.37MIN: 24.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 324.0223.9424.05MIN: 23.78MIN: 23.7MIN: 23.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123510152025SE +/- 0.24, N = 3SE +/- 0.26, N = 3SE +/- 0.04, N = 320.0620.0219.93MIN: 19.52MIN: 19.56MIN: 19.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 313.3613.3413.32MIN: 13.2MIN: 13.14MIN: 13.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1233K6K9K12K15KSE +/- 4.10, N = 3SE +/- 76.51, N = 3SE +/- 7.57, N = 312994.013403.513012.2MIN: 12966.6MIN: 13048.6MIN: 12979.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12316003200480064008000SE +/- 4.08, N = 3SE +/- 4.88, N = 3SE +/- 2.75, N = 37188.497424.107201.09MIN: 7171.82MIN: 7267.22MIN: 7180.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1233K6K9K12K15KSE +/- 34.32, N = 3SE +/- 5.06, N = 3SE +/- 6.69, N = 313022.313494.413017.5MIN: 12970.1MIN: 13309.7MIN: 12988.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12316003200480064008000SE +/- 5.80, N = 3SE +/- 4.96, N = 3SE +/- 7.86, N = 37192.687437.087207.99MIN: 7171.23MIN: 7270.53MIN: 7180.311. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810SE +/- 0.00365, N = 3SE +/- 0.00495, N = 3SE +/- 0.00775, N = 36.038896.031126.05271MIN: 5.92MIN: 5.89MIN: 5.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1233K6K9K12K15KSE +/- 2.60, N = 3SE +/- 28.75, N = 3SE +/- 5.12, N = 312989.913484.913005.4MIN: 12963.9MIN: 13078.8MIN: 12979.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU12316003200480064008000SE +/- 4.85, N = 3SE +/- 7.22, N = 3SE +/- 5.32, N = 37184.047447.307201.51MIN: 7162.14MIN: 7277.81MIN: 7179.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 312.3512.3512.34MIN: 12.13MIN: 12.09MIN: 12.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Opus Codec Encoding

WAV To Opus Encode

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

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite123140K280K420K560K700KSE +/- 1373.01, N = 3SE +/- 1397.02, N = 3SE +/- 1397.20, N = 3657887658126656295

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 11230.05690.11380.17070.22760.2845SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.2530.2480.251

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 51230.17530.35060.52590.70120.8765SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 30.7790.7790.776

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 61230.23360.46720.70080.93441.168SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.0351.0381.036

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 101230.54141.08281.62422.16562.707SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 32.4042.4062.406

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya1230.11030.22060.33090.44120.5515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.490.490.491. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom1230.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.370.371. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets1230.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.600.600.601. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID1230.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.620.621. (CXX) g++ options: -O3 -pthread

SQLite

Threads / Copies: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.30.1Threads / Copies: 1123714212835SE +/- 0.36, N = 15SE +/- 0.04, N = 3SE +/- 0.36, N = 330.3231.9231.701. (CC) gcc options: -O2 -lz -lm -ldl -lpthread

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time123900K1800K2700K3600K4500KSE +/- 40004.50, N = 3SE +/- 24874.87, N = 3SE +/- 14449.66, N = 34232953404387141019801. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 392.8592.7392.92

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile12350100150200250SE +/- 0.36, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3232.09232.00231.81

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3114.83114.83114.831. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 314.0013.8714.001. (CC) gcc options: -std=c99 -O3 -lm -lpthread

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.1.112330060090012001500SE +/- 1.67, N = 3SE +/- 1.20, N = 31332133513321. (CXX) g++ options: -O3 -pthread

VKMark

Resolution: 1280 x 1024

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1280 x 10241232004006008001000SE +/- 1.00, N = 3SE +/- 0.58, N = 3SE +/- 3.28, N = 39059068811. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 1080123130260390520650SE +/- 1.20, N = 3SE +/- 0.58, N = 3SE +/- 7.51, N = 36146146061. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

VkResample

Upscale: 2x - Precision: Double

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: Double1232004006008001000SE +/- 5.17, N = 3SE +/- 4.98, N = 3SE +/- 2.44, N = 31011.321010.741006.891. (CXX) g++ options: -O3 -pthread

VkResample

Upscale: 2x - Precision: Single

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

WavPack Audio Encoding

WAV To WavPack

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

Phoronix Test Suite v10.8.4