9900k-wiesn

Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009261-FI-9900KWIES08&rdt&grs.

9900k-wiesn ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen Resolution1233aIntel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)ASRock Z390M Pro4 (P4.20 BIOS)Intel Cannon Lake PCH16GB240GB Corsair Force MP510Intel UHD 630 3GB (1200MHz)Realtek ALC892G237HLIntel I219-VUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Vulnerable; SMT vulnerable + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Vulnerable + tsx_async_abort: Vulnerable

9900k-wiesn glmark2: 1920 x 1080couchdb: 100 - 1000 - 24ncnn: Vulkan GPU - blazefacewebp: Quality 100, Losslesslczero: OpenCLncnn: Vulkan GPU - alexnetncnn: CPU - resnet50webp: Quality 100, Lossless, Highest Compressionwebp: Defaulttnn: CPU - MobileNet v2ncnn: CPU - shufflenet-v2libraw: Post-Processing Benchmarkncnn: CPU - efficientnet-b0ncnn: CPU - resnet18ncnn: Vulkan GPU - mobilenetincompact3d: Cylinderncnn: CPU - mnasnetmocassin: Dust 2D tau100.0mnn: resnet-v2-50mnn: mobilenet-v1-1.0ncnn: Vulkan GPU - yolov4-tinymnn: inception-v3ncnn: CPU - alexnetopencv: Features 2Dmnn: SqueezeNetV1.0webp: Quality 100, Highest Compressionlammps: Rhodopsin Proteinai-benchmark: Device Training Scorencnn: CPU - squeezenetlammps: 20k Atomsai-benchmark: Device AI Scorelczero: Eigenncnn: CPU-v2-v2 - mobilenet-v2webp: Quality 100gpaw: Carbon Nanotubeinfluxdb: 64 - 10000 - 2,5000,1 - 10000ai-benchmark: Device Inference Scorencnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - squeezenetlczero: BLASncnn: CPU - yolov4-tinyncnn: CPU - vgg16ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0system-decompress-gzip: influxdb: 4 - 10000 - 2,5000,1 - 10000ncnn: CPU - mobilenetrealsr-ncnn: 4x - Notnn: CPU - SqueezeNet v1.1influxdb: 1024 - 10000 - 2,5000,1 - 10000dcraw: RAW To PPM Image Conversionncnn: Vulkan GPU - resnet18mnn: MobileNetV2_224ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: CPU-v3-v3 - mobilenet-v3espeak: Text-To-Speech Synthesisaom-av1: Speed 0 Two-Passopencv: DNN - Deep Neural Networkopencv: Object Detectionncnn: CPU - googlenetncnn: CPU - blazeface1233a75415.53733.0121.36638.82367.8928631926.3226.8506.1342.113253.4850.3374475.7491.9815.55532746.7727.3433.0401.356285.0302.9039.206.2214.8034.76367.0392663.7819134.6346.35070.9837.70415.801099755.7956.3256.856113915.506.14923207864.992.110343.0041631004.71181185.1139.5286026.4166.0011.3011.7823.602.5661623050.517.78253.416268.0921635245.933.29028.502.96632.3568.697.9512.643.9824.995249603798515.341.5476215.25632.9391.35039.21365.9540911916.3466.8316.1322.109253.35978173.5341.9415.42332146.0227.0132.6501.364288.3172.8738.996.2814.6634.51365.6853533.7619134.8136.32070.6537.87515.731104065.8176.3266.849114315.456.14323267844.982.111343.6471633876.81183184.8739.5785926.4466.0711.2911.7723.582.5681623988.517.79253.444268.2221635905.733.27828.512.96732.3468.717.9512.643.9824.9950.33177343733415.331.60OpenBenchmarking.org

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 10801233a2004006008001000754744762781

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2423a20406080100SE +/- 0.88, N = 6SE +/- 0.64, N = 375.7573.531. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface23a0.44550.8911.33651.7822.2275SE +/- 0.02, N = 3SE +/- 0.00, N = 31.981.94MIN: 1.92 / MAX: 2.14MIN: 1.92 / MAX: 2.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless1233a48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 315.5415.5615.2615.421. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LeelaChessZero

Backend: OpenCL

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: OpenCL23a70140210280350SE +/- 2.08, N = 3SE +/- 3.28, N = 33273211. (CXX) g++ options: -flto -pthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet23a1122334455SE +/- 0.09, N = 3SE +/- 0.93, N = 346.7746.02MIN: 44.26 / MAX: 49.73MIN: 42.37 / MAX: 50.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet5023a612182430SE +/- 0.32, N = 3SE +/- 0.44, N = 327.3427.01MIN: 26.56 / MAX: 28.64MIN: 25.53 / MAX: 36.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression1233a816243240SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 333.0133.0432.9432.651. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1233a0.30740.61480.92221.22961.537SE +/- 0.015, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.015, N = 31.3661.3561.3501.3641. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v223a60120180240300SE +/- 0.24, N = 3SE +/- 0.91, N = 3285.03288.32MIN: 283.65 / MAX: 286.48MIN: 286.2 / MAX: 293.831. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v223a0.65251.3051.95752.613.2625SE +/- 0.01, N = 3SE +/- 0.01, N = 32.902.87MIN: 2.86 / MAX: 3.81MIN: 2.83 / MAX: 4.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark1233a918273645SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 338.8239.2039.2138.991. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b023a246810SE +/- 0.00, N = 3SE +/- 0.06, N = 36.226.28MIN: 6.1 / MAX: 7.57MIN: 6.18 / MAX: 7.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1823a48121620SE +/- 0.14, N = 3SE +/- 0.43, N = 314.8014.66MIN: 13.9 / MAX: 17.22MIN: 13.92 / MAX: 15.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet23a816243240SE +/- 0.01, N = 3SE +/- 0.19, N = 334.7634.51MIN: 34.52 / MAX: 36.46MIN: 32.42 / MAX: 40.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder1233a80160240320400SE +/- 0.57, N = 3SE +/- 2.28, N = 3SE +/- 1.96, N = 3SE +/- 2.62, N = 3367.89367.04365.95365.691. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet23a0.85051.7012.55153.4024.2525SE +/- 0.01, N = 3SE +/- 0.01, N = 33.783.76MIN: 3.74 / MAX: 5.84MIN: 3.71 / MAX: 4.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.01233a4080120160200SE +/- 0.58, N = 3SE +/- 0.67, N = 31921911911911. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-5023a816243240SE +/- 0.04, N = 3SE +/- 0.14, N = 334.6334.81MIN: 34.27 / MAX: 46.39MIN: 34.32 / MAX: 47.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.023a246810SE +/- 0.011, N = 3SE +/- 0.006, N = 36.3506.320MIN: 6.12 / MAX: 18.43MIN: 6.11 / MAX: 18.611. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny23a1632486480SE +/- 0.06, N = 3SE +/- 0.38, N = 370.9870.65MIN: 65.18 / MAX: 91.01MIN: 64.15 / MAX: 741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v323a918273645SE +/- 0.17, N = 3SE +/- 0.24, N = 337.7037.88MIN: 37.16 / MAX: 50.83MIN: 37.33 / MAX: 50.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet23a48121620SE +/- 0.03, N = 3SE +/- 0.10, N = 315.8015.73MIN: 15.51 / MAX: 17.17MIN: 15.51 / MAX: 17.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenCV

Test: Features 2D

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2D23a20K40K60K80K100KSE +/- 869.68, N = 15SE +/- 807.78, N = 31099751104061. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.023a1.30882.61763.92645.23526.544SE +/- 0.010, N = 3SE +/- 0.037, N = 35.7955.817MIN: 4.83 / MAX: 8.79MIN: 4.84 / MAX: 7.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression1233a246810SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.039, N = 3SE +/- 0.008, N = 36.3226.3256.3466.3261. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein1233a246810SE +/- 0.021, N = 3SE +/- 0.005, N = 3SE +/- 0.047, N = 14SE +/- 0.020, N = 36.8506.8566.8316.8491. (CXX) g++ options: -O3 -pthread -lm

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score23a200400600800100011391143

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet23a48121620SE +/- 0.07, N = 3SE +/- 0.10, N = 315.5015.45MIN: 15.25 / MAX: 15.88MIN: 15.24 / MAX: 17.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k Atoms1233a246810SE +/- 0.022, N = 3SE +/- 0.015, N = 3SE +/- 0.010, N = 3SE +/- 0.021, N = 36.1346.1496.1326.1431. (CXX) g++ options: -O3 -pthread -lm

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score23a500100015002000250023202326

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen23a2004006008001000SE +/- 2.67, N = 3SE +/- 2.31, N = 37867841. (CXX) g++ options: -flto -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v223a1.12282.24563.36844.49125.614SE +/- 0.00, N = 3SE +/- 0.01, N = 34.994.98MIN: 4.89 / MAX: 6.06MIN: 4.84 / MAX: 6.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 1001233a0.47540.95081.42621.90162.377SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 32.1132.1102.1092.1111. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube23a70140210280350SE +/- 0.64, N = 3SE +/- 0.63, N = 3343.00343.651. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000023a300K600K900K1200K1500KSE +/- 8331.21, N = 3SE +/- 3347.24, N = 31631004.71633876.8

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score23a3006009001200150011811183

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1623a4080120160200SE +/- 0.08, N = 3SE +/- 0.05, N = 3185.11184.87MIN: 183.53 / MAX: 187.24MIN: 182.78 / MAX: 186.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet23a918273645SE +/- 0.02, N = 3SE +/- 0.06, N = 339.5239.57MIN: 39.13 / MAX: 39.75MIN: 39.18 / MAX: 41.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS23a2004006008001000SE +/- 4.91, N = 3SE +/- 5.51, N = 38608591. (CXX) g++ options: -flto -pthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny23a612182430SE +/- 0.09, N = 3SE +/- 0.10, N = 326.4126.44MIN: 26.01 / MAX: 33.84MIN: 26.12 / MAX: 27.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1623a1530456075SE +/- 0.12, N = 3SE +/- 0.12, N = 366.0066.07MIN: 65.76 / MAX: 67.3MIN: 65.79 / MAX: 75.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v223a3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 311.3011.29MIN: 11.05 / MAX: 11.53MIN: 10.74 / MAX: 11.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet23a3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 311.7811.77MIN: 11.17 / MAX: 11.96MIN: 11.72 / MAX: 11.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b023a612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 323.6023.58MIN: 23.24 / MAX: 23.69MIN: 23.23 / MAX: 23.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP Decompression23a0.57781.15561.73342.31122.889SE +/- 0.018, N = 3SE +/- 0.019, N = 32.5662.568

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000023a300K600K900K1200K1500KSE +/- 6010.29, N = 3SE +/- 1945.61, N = 31623050.51623988.5

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet23a48121620SE +/- 0.06, N = 3SE +/- 0.09, N = 317.7817.79MIN: 17.4 / MAX: 27.55MIN: 17.55 / MAX: 18.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1233a60120180240300SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3253.49253.42253.36253.44

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.123a60120180240300SE +/- 0.02, N = 3SE +/- 0.08, N = 3268.09268.22MIN: 267.46 / MAX: 270.33MIN: 267.71 / MAX: 269.211. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

InfluxDB

Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 1000023a400K800K1200K1600K2000KSE +/- 6268.22, N = 3SE +/- 6241.14, N = 31635245.91635905.7

dcraw

RAW To PPM Image Conversion

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion23a816243240SE +/- 0.11, N = 3SE +/- 0.05, N = 333.2933.281. (CC) gcc options: -lm

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet1823a714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 328.5028.51MIN: 27.98 / MAX: 28.88MIN: 27.98 / MAX: 28.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_22423a0.66761.33522.00282.67043.338SE +/- 0.014, N = 3SE +/- 0.015, N = 32.9662.967MIN: 2.8 / MAX: 4.26MIN: 2.8 / MAX: 5.231. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet23a816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 332.3532.34MIN: 31.8 / MAX: 32.72MIN: 31.91 / MAX: 32.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet5023a1530456075SE +/- 0.02, N = 3SE +/- 0.00, N = 368.6968.71MIN: 67.71 / MAX: 69.23MIN: 68.1 / MAX: 68.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v223a246810SE +/- 0.02, N = 3SE +/- 0.03, N = 37.957.95MIN: 6.98 / MAX: 8.33MIN: 7.07 / MAX: 8.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v323a3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 312.6412.64MIN: 12.43 / MAX: 12.85MIN: 12.41 / MAX: 13.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v323a0.89551.7912.68653.5824.4775SE +/- 0.01, N = 3SE +/- 0.02, N = 33.983.98MIN: 3.94 / MAX: 5.33MIN: 3.89 / MAX: 5.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis23a612182430SE +/- 0.31, N = 5SE +/- 0.11, N = 425.0025.001. (CC) gcc options: -O2 -std=c99

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass13a0.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network23a5K10K15K20K25KSE +/- 7385.79, N = 15SE +/- 161.00, N = 324960177341. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OpenCV

Test: Object Detection

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object Detection23a8K16K24K32K40KSE +/- 401.74, N = 7SE +/- 754.41, N = 1537985373341. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet23a48121620SE +/- 0.05, N = 3SE +/- 0.55, N = 315.3415.33MIN: 15.08 / MAX: 17.87MIN: 14.36 / MAX: 171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface23a0.360.721.081.441.8SE +/- 0.03, N = 3SE +/- 0.08, N = 31.541.60MIN: 1.47 / MAX: 1.61MIN: 1.41 / MAX: 1.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Phoronix Test Suite v10.8.5