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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2009261-FI-9900KWIES08 9900k-wiesn - Phoronix Test Suite 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&grs&rdt .
9900k-wiesn Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Compiler File-System Screen Resolution 1 2 3 3a Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads) ASRock Z390M Pro4 (P4.20 BIOS) Intel Cannon Lake PCH 16GB 240GB Corsair Force MP510 Intel UHD 630 3GB (1200MHz) Realtek ALC892 G237HL Intel I219-V Ubuntu 20.04 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.4 OpenCL 2.1 GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Compiler 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: 0xd6 Python Details - Python 2.7.18rc1 + Python 3.8.2 Security 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 1080 couchdb: 100 - 1000 - 24 ncnn: Vulkan GPU - blazeface webp: Quality 100, Lossless lczero: OpenCL ncnn: Vulkan GPU - alexnet ncnn: CPU - resnet50 webp: Quality 100, Lossless, Highest Compression webp: Default tnn: CPU - MobileNet v2 ncnn: CPU - shufflenet-v2 libraw: Post-Processing Benchmark ncnn: CPU - efficientnet-b0 ncnn: CPU - resnet18 ncnn: Vulkan GPU - mobilenet incompact3d: Cylinder ncnn: CPU - mnasnet mocassin: Dust 2D tau100.0 mnn: resnet-v2-50 mnn: mobilenet-v1-1.0 ncnn: Vulkan GPU - yolov4-tiny mnn: inception-v3 ncnn: CPU - alexnet opencv: Features 2D mnn: SqueezeNetV1.0 webp: Quality 100, Highest Compression lammps: Rhodopsin Protein ai-benchmark: Device Training Score ncnn: CPU - squeezenet lammps: 20k Atoms ai-benchmark: Device AI Score lczero: Eigen ncnn: CPU-v2-v2 - mobilenet-v2 webp: Quality 100 gpaw: Carbon Nanotube influxdb: 64 - 10000 - 2,5000,1 - 10000 ai-benchmark: Device Inference Score ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - squeezenet lczero: BLAS ncnn: CPU - yolov4-tiny ncnn: CPU - vgg16 ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 system-decompress-gzip: influxdb: 4 - 10000 - 2,5000,1 - 10000 ncnn: CPU - mobilenet realsr-ncnn: 4x - No tnn: CPU - SqueezeNet v1.1 influxdb: 1024 - 10000 - 2,5000,1 - 10000 dcraw: RAW To PPM Image Conversion ncnn: Vulkan GPU - resnet18 mnn: MobileNetV2_224 ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: CPU-v3-v3 - mobilenet-v3 espeak: Text-To-Speech Synthesis aom-av1: Speed 0 Two-Pass opencv: DNN - Deep Neural Network opencv: Object Detection ncnn: CPU - googlenet ncnn: CPU - blazeface 1 2 3 3a 754 15.537 33.012 1.366 38.82 367.892863 192 6.322 6.850 6.134 2.113 253.485 0.33 744 75.749 1.98 15.555 327 46.77 27.34 33.040 1.356 285.030 2.90 39.20 6.22 14.80 34.76 367.039266 3.78 191 34.634 6.350 70.98 37.704 15.80 109975 5.795 6.325 6.856 1139 15.50 6.149 2320 786 4.99 2.110 343.004 1631004.7 1181 185.11 39.52 860 26.41 66.00 11.30 11.78 23.60 2.566 1623050.5 17.78 253.416 268.092 1635245.9 33.290 28.50 2.966 32.35 68.69 7.95 12.64 3.98 24.995 24960 37985 15.34 1.54 762 15.256 32.939 1.350 39.21 365.954091 191 6.346 6.831 6.132 2.109 253.359 781 73.534 1.94 15.423 321 46.02 27.01 32.650 1.364 288.317 2.87 38.99 6.28 14.66 34.51 365.685353 3.76 191 34.813 6.320 70.65 37.875 15.73 110406 5.817 6.326 6.849 1143 15.45 6.143 2326 784 4.98 2.111 343.647 1633876.8 1183 184.87 39.57 859 26.44 66.07 11.29 11.77 23.58 2.568 1623988.5 17.79 253.444 268.222 1635905.7 33.278 28.51 2.967 32.34 68.71 7.95 12.64 3.98 24.995 0.33 17734 37334 15.33 1.60 OpenBenchmarking.org
GLmark2 Resolution: 1920 x 1080 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1080 1 2 3 3a 200 400 600 800 1000 754 744 762 781
Apache CouchDB Bulk Size: 100 - Inserts: 1000 - Rounds: 24 OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 2 3a 20 40 60 80 100 SE +/- 0.88, N = 6 SE +/- 0.64, N = 3 75.75 73.53 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface 2 3a 0.4455 0.891 1.3365 1.782 2.2275 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 1.98 1.94 MIN: 1.92 / MAX: 2.14 MIN: 1.92 / MAX: 2.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
WebP Image Encode Encode Settings: Quality 100, Lossless OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless 1 2 3 3a 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 15.54 15.56 15.26 15.42 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
LeelaChessZero Backend: OpenCL OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: OpenCL 2 3a 70 140 210 280 350 SE +/- 2.08, N = 3 SE +/- 3.28, N = 3 327 321 1. (CXX) g++ options: -flto -pthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet 2 3a 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.93, N = 3 46.77 46.02 MIN: 44.26 / MAX: 49.73 MIN: 42.37 / MAX: 50.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 2 3a 6 12 18 24 30 SE +/- 0.32, N = 3 SE +/- 0.44, N = 3 27.34 27.01 MIN: 26.56 / MAX: 28.64 MIN: 25.53 / MAX: 36.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
WebP Image Encode Encode Settings: Quality 100, Lossless, Highest Compression OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression 1 2 3 3a 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.10, N = 3 33.01 33.04 32.94 32.65 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
WebP Image Encode Encode Settings: Default OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default 1 2 3 3a 0.3074 0.6148 0.9222 1.2296 1.537 SE +/- 0.015, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.015, N = 3 1.366 1.356 1.350 1.364 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 2 3a 60 120 180 240 300 SE +/- 0.24, N = 3 SE +/- 0.91, N = 3 285.03 288.32 MIN: 283.65 / MAX: 286.48 MIN: 286.2 / MAX: 293.83 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 2 3a 0.6525 1.305 1.9575 2.61 3.2625 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.90 2.87 MIN: 2.86 / MAX: 3.81 MIN: 2.83 / MAX: 4.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark 1 2 3 3a 9 18 27 36 45 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 38.82 39.20 39.21 38.99 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 2 3a 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 6.22 6.28 MIN: 6.1 / MAX: 7.57 MIN: 6.18 / MAX: 7.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 2 3a 4 8 12 16 20 SE +/- 0.14, N = 3 SE +/- 0.43, N = 3 14.80 14.66 MIN: 13.9 / MAX: 17.22 MIN: 13.92 / MAX: 15.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet 2 3a 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.19, N = 3 34.76 34.51 MIN: 34.52 / MAX: 36.46 MIN: 32.42 / MAX: 40.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder 1 2 3 3a 80 160 240 320 400 SE +/- 0.57, N = 3 SE +/- 2.28, N = 3 SE +/- 1.96, N = 3 SE +/- 2.62, N = 3 367.89 367.04 365.95 365.69 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 2 3a 0.8505 1.701 2.5515 3.402 4.2525 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 3.78 3.76 MIN: 3.74 / MAX: 5.84 MIN: 3.71 / MAX: 4.81 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Monte Carlo Simulations of Ionised Nebulae Input: Dust 2D tau100.0 OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 1 2 3 3a 40 80 120 160 200 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 192 191 191 191 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 2 3a 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.14, N = 3 34.63 34.81 MIN: 34.27 / MAX: 46.39 MIN: 34.32 / MAX: 47.37 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 2 3a 2 4 6 8 10 SE +/- 0.011, N = 3 SE +/- 0.006, N = 3 6.350 6.320 MIN: 6.12 / MAX: 18.43 MIN: 6.11 / MAX: 18.61 1. (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.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny 2 3a 16 32 48 64 80 SE +/- 0.06, N = 3 SE +/- 0.38, N = 3 70.98 70.65 MIN: 65.18 / MAX: 91.01 MIN: 64.15 / MAX: 74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 2 3a 9 18 27 36 45 SE +/- 0.17, N = 3 SE +/- 0.24, N = 3 37.70 37.88 MIN: 37.16 / MAX: 50.83 MIN: 37.33 / MAX: 50.76 1. (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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 2 3a 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 15.80 15.73 MIN: 15.51 / MAX: 17.17 MIN: 15.51 / MAX: 17.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenCV Test: Features 2D OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: Features 2D 2 3a 20K 40K 60K 80K 100K SE +/- 869.68, N = 15 SE +/- 807.78, N = 3 109975 110406 1. (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.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 2 3a 1.3088 2.6176 3.9264 5.2352 6.544 SE +/- 0.010, N = 3 SE +/- 0.037, N = 3 5.795 5.817 MIN: 4.83 / MAX: 8.79 MIN: 4.84 / MAX: 7.67 1. (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.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression 1 2 3 3a 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.039, N = 3 SE +/- 0.008, N = 3 6.322 6.325 6.346 6.326 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein 1 2 3 3a 2 4 6 8 10 SE +/- 0.021, N = 3 SE +/- 0.005, N = 3 SE +/- 0.047, N = 14 SE +/- 0.020, N = 3 6.850 6.856 6.831 6.849 1. (CXX) g++ options: -O3 -pthread -lm
AI Benchmark Alpha Device Training Score OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Training Score 2 3a 200 400 600 800 1000 1139 1143
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 2 3a 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 15.50 15.45 MIN: 15.25 / MAX: 15.88 MIN: 15.24 / MAX: 17.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: 20k Atoms 1 2 3 3a 2 4 6 8 10 SE +/- 0.022, N = 3 SE +/- 0.015, N = 3 SE +/- 0.010, N = 3 SE +/- 0.021, N = 3 6.134 6.149 6.132 6.143 1. (CXX) g++ options: -O3 -pthread -lm
AI Benchmark Alpha Device AI Score OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device AI Score 2 3a 500 1000 1500 2000 2500 2320 2326
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen 2 3a 200 400 600 800 1000 SE +/- 2.67, N = 3 SE +/- 2.31, N = 3 786 784 1. (CXX) g++ options: -flto -pthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 2 3a 1.1228 2.2456 3.3684 4.4912 5.614 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 4.99 4.98 MIN: 4.89 / MAX: 6.06 MIN: 4.84 / MAX: 6.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 1 2 3 3a 0.4754 0.9508 1.4262 1.9016 2.377 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 2.113 2.110 2.109 2.111 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube 2 3a 70 140 210 280 350 SE +/- 0.64, N = 3 SE +/- 0.63, N = 3 343.00 343.65 1. (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.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 2 3a 300K 600K 900K 1200K 1500K SE +/- 8331.21, N = 3 SE +/- 3347.24, N = 3 1631004.7 1633876.8
AI Benchmark Alpha Device Inference Score OpenBenchmarking.org Score, More Is Better AI Benchmark Alpha 0.1.2 Device Inference Score 2 3a 300 600 900 1200 1500 1181 1183
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 2 3a 40 80 120 160 200 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 185.11 184.87 MIN: 183.53 / MAX: 187.24 MIN: 182.78 / MAX: 186.8 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet 2 3a 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 39.52 39.57 MIN: 39.13 / MAX: 39.75 MIN: 39.18 / MAX: 41.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS 2 3a 200 400 600 800 1000 SE +/- 4.91, N = 3 SE +/- 5.51, N = 3 860 859 1. (CXX) g++ options: -flto -pthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 2 3a 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.10, N = 3 26.41 26.44 MIN: 26.01 / MAX: 33.84 MIN: 26.12 / MAX: 27.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 2 3a 15 30 45 60 75 SE +/- 0.12, N = 3 SE +/- 0.12, N = 3 66.00 66.07 MIN: 65.76 / MAX: 67.3 MIN: 65.79 / MAX: 75.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 2 3a 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 11.30 11.29 MIN: 11.05 / MAX: 11.53 MIN: 10.74 / MAX: 11.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet 2 3a 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 11.78 11.77 MIN: 11.17 / MAX: 11.96 MIN: 11.72 / MAX: 11.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 2 3a 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 23.60 23.58 MIN: 23.24 / MAX: 23.69 MIN: 23.23 / MAX: 23.65 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
System GZIP Decompression OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression 2 3a 0.5778 1.1556 1.7334 2.3112 2.889 SE +/- 0.018, N = 3 SE +/- 0.019, N = 3 2.566 2.568
InfluxDB Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 2 3a 300K 600K 900K 1200K 1500K SE +/- 6010.29, N = 3 SE +/- 1945.61, N = 3 1623050.5 1623988.5
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet 2 3a 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 17.78 17.79 MIN: 17.4 / MAX: 27.55 MIN: 17.55 / MAX: 18.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No 1 2 3 3a 60 120 180 240 300 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 253.49 253.42 253.36 253.44
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 2 3a 60 120 180 240 300 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 268.09 268.22 MIN: 267.46 / MAX: 270.33 MIN: 267.71 / MAX: 269.21 1. (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.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 2 3a 400K 800K 1200K 1600K 2000K SE +/- 6268.22, N = 3 SE +/- 6241.14, N = 3 1635245.9 1635905.7
dcraw RAW To PPM Image Conversion OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion 2 3a 8 16 24 32 40 SE +/- 0.11, N = 3 SE +/- 0.05, N = 3 33.29 33.28 1. (CC) gcc options: -lm
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 2 3a 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 28.50 28.51 MIN: 27.98 / MAX: 28.88 MIN: 27.98 / MAX: 28.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 2 3a 0.6676 1.3352 2.0028 2.6704 3.338 SE +/- 0.014, N = 3 SE +/- 0.015, N = 3 2.966 2.967 MIN: 2.8 / MAX: 4.26 MIN: 2.8 / MAX: 5.23 1. (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.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet 2 3a 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 32.35 32.34 MIN: 31.8 / MAX: 32.72 MIN: 31.91 / MAX: 32.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 2 3a 15 30 45 60 75 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 68.69 68.71 MIN: 67.71 / MAX: 69.23 MIN: 68.1 / MAX: 68.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 2 3a 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 7.95 7.95 MIN: 6.98 / MAX: 8.33 MIN: 7.07 / MAX: 8.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 2 3a 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 12.64 12.64 MIN: 12.43 / MAX: 12.85 MIN: 12.41 / MAX: 13.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 2 3a 0.8955 1.791 2.6865 3.582 4.4775 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 3.98 3.98 MIN: 3.94 / MAX: 5.33 MIN: 3.89 / MAX: 5.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis 2 3a 6 12 18 24 30 SE +/- 0.31, N = 5 SE +/- 0.11, N = 4 25.00 25.00 1. (CC) gcc options: -O2 -std=c99
AOM AV1 Encoder Mode: Speed 0 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass 1 3a 0.0743 0.1486 0.2229 0.2972 0.3715 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.33 0.33 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenCV Test: DNN - Deep Neural Network OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network 2 3a 5K 10K 15K 20K 25K SE +/- 7385.79, N = 15 SE +/- 161.00, N = 3 24960 17734 1. (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.org ms, Fewer Is Better OpenCV 4.4 Test: Object Detection 2 3a 8K 16K 24K 32K 40K SE +/- 401.74, N = 7 SE +/- 754.41, N = 15 37985 37334 1. (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.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet 2 3a 4 8 12 16 20 SE +/- 0.05, N = 3 SE +/- 0.55, N = 3 15.34 15.33 MIN: 15.08 / MAX: 17.87 MIN: 14.36 / MAX: 17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface 2 3a 0.36 0.72 1.08 1.44 1.8 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 1.54 1.60 MIN: 1.47 / MAX: 1.61 MIN: 1.41 / MAX: 1.79 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Phoronix Test Suite v10.8.4