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&sor&gru.

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 aom-av1: Speed 0 Two-Passlibraw: Post-Processing Benchmarklczero: BLASlczero: Eigenlczero: OpenCLlammps: 20k Atomslammps: Rhodopsin Proteinglmark2: 1920 x 1080ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoreinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1opencv: Features 2Dopencv: Object Detectionopencv: DNN - Deep Neural Networkrealsr-ncnn: 4x - Noincompact3d: Cylindermocassin: Dust 2D tau100.0dcraw: RAW To PPM Image Conversionespeak: Text-To-Speech Synthesissystem-decompress-gzip: couchdb: 100 - 1000 - 24gpaw: Carbon Nanotube1233a0.3338.826.1346.8507541.3662.11315.5376.32233.012253.485367.89286319239.208607863276.1496.8567441181113923201623050.51631004.71635245.91.3562.11015.5556.32533.0405.79534.6342.9666.35037.70415.5017.784.993.982.903.786.221.5415.3466.0014.8015.8027.3426.4139.5234.7611.3012.647.9511.7823.601.9832.35185.1128.5046.7768.6970.98285.030268.0921099753798524960253.416367.03926619133.29024.9952.56675.749343.00439.216.1326.8317621.3502.10915.2566.34632.939253.359365.9540911910.3338.998597843216.1436.8497811183114323261623988.51633876.81635905.71.3642.11115.4236.32632.6505.81734.8132.9676.32037.87515.4517.794.983.982.873.766.281.6015.3366.0714.6615.7327.0126.4439.5734.5111.2912.647.9511.7723.581.9432.34184.8728.5146.0268.7170.65288.317268.2221104063733417734253.444365.68535319133.27824.9952.56873.534343.647OpenBenchmarking.org

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass3a10.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark323a1918273645SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 339.2139.2038.9938.821. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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

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

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

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k Atoms23a13246810SE +/- 0.015, N = 3SE +/- 0.021, N = 3SE +/- 0.022, N = 3SE +/- 0.010, N = 36.1496.1436.1346.1321. (CXX) g++ options: -O3 -pthread -lm

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin Protein213a3246810SE +/- 0.005, N = 3SE +/- 0.021, N = 3SE +/- 0.020, N = 3SE +/- 0.047, N = 146.8566.8506.8496.8311. (CXX) g++ options: -O3 -pthread -lm

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 10803a3122004006008001000781762754744

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score3a23006009001200150011831181

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score3a2200400600800100011431139

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score3a2500100015002000250023262320

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: 100003a2300K600K900K1200K1500KSE +/- 1945.61, N = 3SE +/- 6010.29, N = 31623988.51623050.5

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: 100003a2300K600K900K1200K1500KSE +/- 3347.24, N = 3SE +/- 8331.21, N = 31633876.81631004.7

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: 100003a2400K800K1200K1600K2000KSE +/- 6241.14, N = 3SE +/- 6268.22, N = 31635905.71635245.9

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default323a10.30740.61480.92221.22961.537SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.015, N = 3SE +/- 0.015, N = 31.3501.3561.3641.3661. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100323a10.47540.95081.42621.90162.377SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 32.1092.1102.1112.1131. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless33a1248121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.2615.4215.5415.561. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression123a3246810SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.039, N = 36.3226.3256.3266.3461. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 Compression3a312816243240SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 332.6532.9433.0133.041. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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

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: 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

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.03a2246810SE +/- 0.006, N = 3SE +/- 0.011, N = 36.3206.350MIN: 6.11 / MAX: 18.61MIN: 6.12 / MAX: 18.431. (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: 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: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet3a248121620SE +/- 0.10, N = 3SE +/- 0.07, N = 315.4515.50MIN: 15.24 / MAX: 17.65MIN: 15.25 / MAX: 15.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v23a21.12282.24563.36844.49125.614SE +/- 0.01, N = 3SE +/- 0.00, N = 34.984.99MIN: 4.84 / MAX: 6.09MIN: 4.89 / MAX: 6.061. (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

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v23a20.65251.3051.95752.613.2625SE +/- 0.01, N = 3SE +/- 0.01, N = 32.872.90MIN: 2.83 / MAX: 4.99MIN: 2.86 / MAX: 3.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet3a20.85051.7012.55153.4024.2525SE +/- 0.01, N = 3SE +/- 0.01, N = 33.763.78MIN: 3.71 / MAX: 4.81MIN: 3.74 / MAX: 5.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 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

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet3a248121620SE +/- 0.55, N = 3SE +/- 0.05, N = 315.3315.34MIN: 14.36 / MAX: 17MIN: 15.08 / MAX: 17.871. (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: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet183a248121620SE +/- 0.43, N = 3SE +/- 0.14, N = 314.6614.80MIN: 13.92 / MAX: 15.7MIN: 13.9 / MAX: 17.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet3a248121620SE +/- 0.10, N = 3SE +/- 0.03, N = 315.7315.80MIN: 15.51 / MAX: 17.29MIN: 15.51 / MAX: 17.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet503a2612182430SE +/- 0.44, N = 3SE +/- 0.32, N = 327.0127.34MIN: 25.53 / MAX: 36.96MIN: 26.56 / MAX: 28.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: 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

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet3a2816243240SE +/- 0.19, N = 3SE +/- 0.01, N = 334.5134.76MIN: 32.42 / MAX: 40.99MIN: 34.52 / MAX: 36.461. (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-v23a23691215SE +/- 0.01, N = 3SE +/- 0.00, N = 311.2911.30MIN: 10.74 / MAX: 11.56MIN: 11.05 / MAX: 11.531. (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: 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 - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet3a23691215SE +/- 0.01, N = 3SE +/- 0.01, N = 311.7711.78MIN: 11.72 / MAX: 11.93MIN: 11.17 / MAX: 11.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b03a2612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 323.5823.60MIN: 23.23 / MAX: 23.65MIN: 23.24 / MAX: 23.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface3a20.44550.8911.33651.7822.2275SE +/- 0.00, N = 3SE +/- 0.02, N = 31.941.98MIN: 1.92 / MAX: 2.09MIN: 1.92 / MAX: 2.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet3a2816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 332.3432.35MIN: 31.91 / MAX: 32.6MIN: 31.8 / MAX: 32.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg163a24080120160200SE +/- 0.05, N = 3SE +/- 0.08, N = 3184.87185.11MIN: 182.78 / MAX: 186.8MIN: 183.53 / MAX: 187.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet3a21122334455SE +/- 0.93, N = 3SE +/- 0.09, N = 346.0246.77MIN: 42.37 / MAX: 50.33MIN: 44.26 / MAX: 49.731. (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: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny3a21632486480SE +/- 0.38, N = 3SE +/- 0.06, N = 370.6570.98MIN: 64.15 / MAX: 74MIN: 65.18 / MAX: 91.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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

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

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

OpenCV

Test: Object Detection

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object Detection3a28K16K24K32K40KSE +/- 754.41, N = 15SE +/- 401.74, N = 737334379851. (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: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network3a25K10K15K20K25KSE +/- 161.00, N = 3SE +/- 7385.79, N = 1517734249601. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No323a160120180240300SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3253.36253.42253.44253.49

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder3a32180160240320400SE +/- 2.62, N = 3SE +/- 1.96, N = 3SE +/- 2.28, N = 3SE +/- 0.57, N = 3365.69365.95367.04367.891. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 tau100.0233a14080120160200SE +/- 0.67, N = 3SE +/- 0.58, N = 31911911911921. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

dcraw

RAW To PPM Image Conversion

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion3a2816243240SE +/- 0.05, N = 3SE +/- 0.11, N = 333.2833.291. (CC) gcc options: -lm

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

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

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 243a220406080100SE +/- 0.64, N = 3SE +/- 0.88, N = 673.5375.751. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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

Phoronix Test Suite v10.8.5