3300X New AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009280-FI-3300XNEW187&gru&sro .
3300X New Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 1 2 3 AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads) MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) AMD Starship/Matisse 8GB 256GB INTEL SSDPEKKW256G7 AMD FirePro V3800 512MB AMD Redwood HDMI Audio VA2431 Realtek RTL8111/8168/8411 Ubuntu 20.04 5.9.0-rc5-14sep-patch (x86_64) 20200914 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 3.3 Mesa 20.0.8 (LLVM 10.0.0) 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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021 Python Details - Python 3.8.2 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
3300X New mpv: Big Buck Bunny Sunflower 4K - Software Only mpv: Big Buck Bunny Sunflower 1080p - Software Only byte: Dhrystone 2 ffte: N=256, 3D Complex FFT Routine libraw: Post-Processing Benchmark lczero: BLAS lczero: Eigen lczero: Rand gromacs: Water Benchmark hint: FLOAT influxdb: 4 - 10000 - 2,5000,1 - 10000 influxdb: 64 - 10000 - 2,5000,1 - 10000 influxdb: 1024 - 10000 - 2,5000,1 - 10000 namd: ATPase Simulation - 327,506 Atoms webp: Default webp: Quality 100 webp: Quality 100, Lossless webp: Quality 100, Highest Compression webp: Quality 100, Lossless, Highest Compression caffe: AlexNet - CPU - 100 caffe: AlexNet - CPU - 200 caffe: GoogleNet - CPU - 100 caffe: GoogleNet - CPU - 200 ncnn: CPU - squeezenet ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 opencv: DNN - Deep Neural Network dolfyn: Computational Fluid Dynamics hmmer: Pfam Database Search espeak: Text-To-Speech Synthesis couchdb: 100 - 1000 - 24 mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression 1 2 3 175.59 319.43 46642879.6 25965.398717751 30.74 688 665 227920 0.559 379856539.78329 1148083.7 1215926.1 1235812.2 4.31075 1.472 2.243 16.054 6.967 34.088 37854 75727 98610 197252 19.81 20.89 5.39 4.86 3.20 5.05 7.66 1.47 16.91 70.04 16.57 17.92 33.84 29.70 250.394 240.733 4079 16.334 103.710 28.144 112.671 53.35 66.42 19.40 3.04 175.95 319.12 46044154.4 25833.142501909 30.88 666 712 227389 0.555 379820315.56643 1154741.0 1214667.8 1234016.6 4.30607 1.469 2.248 15.940 6.980 33.931 38104 76423 98759 198462 19.89 21.13 5.51 4.76 3.18 5.04 7.66 1.52 16.84 70.33 16.54 18.36 34.08 29.87 249.962 238.706 4287 16.336 103.495 28.463 112.808 53.23 66.75 19.49 3.02 175.75 319.18 45708214.7 25987.237961360 30.69 791 734 227721 0.560 380134502.20203 1135241.1 1213725.5 1231834.8 4.31865 1.475 2.244 16.073 6.955 34.368 37907 75699 98742 197955 19.72 20.94 5.43 4.74 3.18 4.90 7.81 1.52 17.02 70.27 16.57 18.08 33.85 29.97 250.390 239.055 4287 16.373 104.013 28.618 113.836 53.99 65.90 19.44 3.03 OpenBenchmarking.org
MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only 1 2 3 40 80 120 160 200 SE +/- 0.05, N = 3 SE +/- 0.24, N = 3 SE +/- 0.08, N = 3 175.59 175.95 175.75 MIN: 160.02 / MAX: 181.84 MIN: 162.18 / MAX: 181.84 MIN: 162.18 / MAX: 181.84 1. mpv 0.32.0
MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only 1 2 3 70 140 210 280 350 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 319.43 319.12 319.18 MIN: 307.73 / MAX: 324.37 MIN: 315.83 / MAX: 324.36 MIN: 307.73 / MAX: 324.36 1. mpv 0.32.0
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 1 2 3 10M 20M 30M 40M 50M SE +/- 111506.75, N = 3 SE +/- 536167.24, N = 3 SE +/- 334020.32, N = 3 46642879.6 46044154.4 45708214.7
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine 1 2 3 6K 12K 18K 24K 30K SE +/- 190.92, N = 3 SE +/- 59.58, N = 3 SE +/- 32.59, N = 3 25965.40 25833.14 25987.24 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark 1 2 3 7 14 21 28 35 SE +/- 0.07, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 30.74 30.88 30.69 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS 1 2 3 200 400 600 800 1000 SE +/- 7.18, N = 8 SE +/- 7.06, N = 8 SE +/- 2.08, N = 3 688 666 791 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen 1 2 3 160 320 480 640 800 SE +/- 7.38, N = 7 SE +/- 16.24, N = 9 SE +/- 4.63, N = 3 665 712 734 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Random OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random 1 2 3 50K 100K 150K 200K 250K SE +/- 149.15, N = 3 SE +/- 250.79, N = 3 SE +/- 278.97, N = 3 227920 227389 227721 1. (CXX) g++ options: -flto -pthread
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark 1 2 3 0.126 0.252 0.378 0.504 0.63 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.559 0.555 0.560 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT 1 2 3 80M 160M 240M 320M 400M SE +/- 80927.04, N = 3 SE +/- 60537.24, N = 3 SE +/- 164211.85, N = 3 379856539.78 379820315.57 380134502.20 1. (CC) gcc options: -O3 -march=native -lm
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 1 2 3 200K 400K 600K 800K 1000K SE +/- 14015.74, N = 3 SE +/- 910.58, N = 3 SE +/- 18997.93, N = 3 1148083.7 1154741.0 1135241.1
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 1 2 3 300K 600K 900K 1200K 1500K SE +/- 445.95, N = 3 SE +/- 837.81, N = 3 SE +/- 2005.21, N = 3 1215926.1 1214667.8 1213725.5
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 1 2 3 300K 600K 900K 1200K 1500K SE +/- 569.40, N = 3 SE +/- 2518.88, N = 3 SE +/- 3050.85, N = 3 1235812.2 1234016.6 1231834.8
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms 1 2 3 0.9717 1.9434 2.9151 3.8868 4.8585 SE +/- 0.00138, N = 3 SE +/- 0.00237, N = 3 SE +/- 0.00476, N = 3 4.31075 4.30607 4.31865
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 0.3319 0.6638 0.9957 1.3276 1.6595 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 1.472 1.469 1.475 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 0.5058 1.0116 1.5174 2.0232 2.529 SE +/- 0.006, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 2.243 2.248 2.244 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 16.05 15.94 16.07 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 2 4 6 8 10 SE +/- 0.011, N = 3 SE +/- 0.022, N = 3 SE +/- 0.006, N = 3 6.967 6.980 6.955 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 34.09 33.93 34.37 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 1 2 3 8K 16K 24K 32K 40K SE +/- 59.95, N = 3 SE +/- 61.07, N = 3 SE +/- 73.17, N = 3 37854 38104 37907 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 1 2 3 16K 32K 48K 64K 80K SE +/- 7.42, N = 3 SE +/- 119.56, N = 3 SE +/- 69.34, N = 3 75727 76423 75699 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 1 2 3 20K 40K 60K 80K 100K SE +/- 53.78, N = 3 SE +/- 74.51, N = 3 SE +/- 239.08, N = 3 98610 98759 98742 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 1 2 3 40K 80K 120K 160K 200K SE +/- 139.14, N = 3 SE +/- 64.09, N = 3 SE +/- 171.89, N = 3 197252 198462 197955 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 1 2 3 5 10 15 20 25 SE +/- 0.10, N = 3 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 19.81 19.89 19.72 MIN: 19.45 / MAX: 84.09 MIN: 19.59 / MAX: 85.23 MIN: 19.22 / MAX: 87.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet 1 2 3 5 10 15 20 25 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 20.89 21.13 20.94 MIN: 20.34 / MAX: 79.79 MIN: 20.6 / MAX: 135.51 MIN: 20.27 / MAX: 87.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 1 2 3 1.2398 2.4796 3.7194 4.9592 6.199 SE +/- 0.02, N = 3 SE +/- 0.16, N = 3 SE +/- 0.08, N = 3 5.39 5.51 5.43 MIN: 5.26 / MAX: 15.94 MIN: 5.25 / MAX: 70.66 MIN: 5.25 / MAX: 6.71 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 1 2 3 1.0935 2.187 3.2805 4.374 5.4675 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 4.86 4.76 4.74 MIN: 4.67 / MAX: 70.14 MIN: 4.67 / MAX: 9.58 MIN: 4.66 / MAX: 5.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 1 2 3 0.72 1.44 2.16 2.88 3.6 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.20 3.18 3.18 MIN: 3.16 / MAX: 4.32 MIN: 3.15 / MAX: 4.42 MIN: 3.15 / MAX: 4.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 1 2 3 1.1363 2.2726 3.4089 4.5452 5.6815 SE +/- 0.07, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 5.05 5.04 4.90 MIN: 4.7 / MAX: 71.14 MIN: 4.82 / MAX: 73.28 MIN: 4.82 / MAX: 5.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 1 2 3 2 4 6 8 10 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.12, N = 3 7.66 7.66 7.81 MIN: 7.42 / MAX: 8.79 MIN: 7.43 / MAX: 9.07 MIN: 7.44 / MAX: 73.75 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 1 2 3 0.342 0.684 1.026 1.368 1.71 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 1.47 1.52 1.52 MIN: 1.38 / MAX: 1.56 MIN: 1.45 / MAX: 1.57 MIN: 1.44 / MAX: 1.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet 1 2 3 4 8 12 16 20 SE +/- 0.17, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 16.91 16.84 17.02 MIN: 16.56 / MAX: 85.29 MIN: 16.59 / MAX: 26.56 MIN: 16.76 / MAX: 84.98 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 1 2 3 16 32 48 64 80 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.13, N = 3 70.04 70.33 70.27 MIN: 69.21 / MAX: 134.99 MIN: 69.45 / MAX: 145.44 MIN: 69.43 / MAX: 137.61 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 1 2 3 4 8 12 16 20 SE +/- 0.10, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 16.57 16.54 16.57 MIN: 16.36 / MAX: 81.22 MIN: 16.46 / MAX: 17.25 MIN: 16.33 / MAX: 84.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 1 2 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.14, N = 3 SE +/- 0.11, N = 3 17.92 18.36 18.08 MIN: 17.79 / MAX: 19.18 MIN: 17.99 / MAX: 81.76 MIN: 17.84 / MAX: 65.83 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 1 2 3 8 16 24 32 40 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 33.84 34.08 33.85 MIN: 33.48 / MAX: 101.31 MIN: 33.69 / MAX: 102.01 MIN: 33.37 / MAX: 101.78 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 1 2 3 7 14 21 28 35 SE +/- 0.15, N = 3 SE +/- 0.15, N = 3 SE +/- 0.11, N = 3 29.70 29.87 29.97 MIN: 29.36 / MAX: 102.28 MIN: 29.61 / MAX: 94.06 MIN: 29.43 / MAX: 96.48 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 1 2 3 50 100 150 200 250 SE +/- 0.95, N = 3 SE +/- 1.39, N = 3 SE +/- 0.82, N = 3 250.39 249.96 250.39 MIN: 247.95 / MAX: 288.33 MIN: 246.61 / MAX: 282.57 MIN: 247.08 / MAX: 280.65 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 1 2 3 50 100 150 200 250 SE +/- 0.21, N = 3 SE +/- 0.74, N = 3 SE +/- 0.70, N = 3 240.73 238.71 239.06 MIN: 237.48 / MAX: 242.43 MIN: 235.48 / MAX: 249.9 MIN: 235.94 / MAX: 247.97 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenCV Test: DNN - Deep Neural Network OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network 1 2 3 900 1800 2700 3600 4500 SE +/- 127.04, N = 12 SE +/- 83.23, N = 15 SE +/- 106.08, N = 15 4079 4287 4287 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics 1 2 3 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 16.33 16.34 16.37
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 1 2 3 20 40 60 80 100 SE +/- 0.09, N = 3 SE +/- 0.28, N = 3 SE +/- 0.21, N = 3 103.71 103.50 104.01 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis 1 2 3 7 14 21 28 35 SE +/- 0.24, N = 4 SE +/- 0.09, N = 4 SE +/- 0.14, N = 4 28.14 28.46 28.62 1. (CC) gcc options: -O2 -std=c99
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 1 2 3 30 60 90 120 150 SE +/- 0.76, N = 3 SE +/- 1.07, N = 3 SE +/- 0.89, N = 3 112.67 112.81 113.84 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica 1 2 3 12 24 36 48 60 SE +/- 0.40, N = 3 SE +/- 0.23, N = 3 SE +/- 0.30, N = 3 53.35 53.23 53.99
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda 1 2 3 15 30 45 60 75 SE +/- 0.90, N = 3 SE +/- 0.72, N = 15 SE +/- 0.47, N = 3 66.42 66.75 65.90
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm 1 2 3 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 19.40 19.49 19.44
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression 1 2 3 0.684 1.368 2.052 2.736 3.42 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 3.04 3.02 3.03
Phoronix Test Suite v10.8.5