AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB 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 2010029-FI-RYZEN322054 Ryzen 3 2200G Oct - Phoronix Test Suite Ryzen 3 2200G Oct AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010029-FI-RYZEN322054&export=txt&grr&sor .
Ryzen 3 2200G Oct Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Linux 5.4 2 3 4 AMD Ryzen 3 2200G @ 3.50GHz (4 Cores) ASUS PRIME B350M-E (5220 BIOS) AMD Raven/Raven2 6GB Samsung SSD 970 EVO 250GB ASUS AMD Radeon Vega / Mobile 2GB (1100/1600MHz) AMD Raven/Raven2/Fenghuang G237HL Realtek RTL8111/8168/8411 Ubuntu 20.04 5.4.0-45-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.5 modesetting 1.20.5 4.6 Mesa 20.0.4 (LLVM 9.0.1) 1.2.128 GCC 9.3.0 ext4 1920x1080 5.4.0-48-generic (x86_64) 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: 0x8101016 Python Details - Python 2.7.18rc1 + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Ryzen 3 2200G Oct lczero: BLAS influxdb: 4 - 10000 - 2,5000,1 - 10000 lczero: Eigen realsr-ncnn: 4x - No namd: ATPase Simulation - 327,506 Atoms ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU - squeezenet build-gdb: Time To Compile couchdb: 100 - 1000 - 24 mlpack: scikit_qda influxdb: 64 - 10000 - 2,5000,1 - 10000 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 compress-zstd: 19 hint: FLOAT vkfft: ncnn: CPU - yolov4-tiny ncnn: CPU - resnet50 ncnn: CPU - alexnet ncnn: CPU - resnet18 ncnn: CPU - vgg16 ncnn: CPU - googlenet ncnn: CPU - blazeface ncnn: CPU - efficientnet-b0 ncnn: CPU - mnasnet ncnn: CPU - shufflenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU - mobilenet ncnn: CPU - squeezenet hmmer: Pfam Database Search byte: Dhrystone 2 caffe: GoogleNet - CPU - 100 mpv: Big Buck Bunny Sunflower 4K - Software Only mlpack: scikit_linearridgeregression keydb: compress-zstd: 3 mlpack: scikit_ica aom-av1: Speed 6 Realtime libraw: Post-Processing Benchmark webp: Quality 100, Lossless, Highest Compression dcraw: RAW To PPM Image Conversion espeak: Text-To-Speech Synthesis aom-av1: Speed 6 Two-Pass caffe: AlexNet - CPU - 100 aom-av1: Speed 4 Two-Pass mpv: Big Buck Bunny Sunflower 1080p - Software Only mlpack: scikit_svm webp: Quality 100, Lossless rnnoise: lammps: Rhodopsin Protein aom-av1: Speed 8 Realtime dolfyn: Computational Fluid Dynamics tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 mafft: Multiple Sequence Alignment - LSU RNA webp: Quality 100, Highest Compression system-decompress-gzip: ffte: N=256, 3D Complex FFT Routine webp: Quality 100 webp: Default Linux 5.4 2 3 4 404 786957.3 438 340.778 6.52438 89.97 94.98 40.74 41.31 347.20 51.79 2.96 32.12 17.54 9.62 17.01 16.13 42.63 62.29 221.143 190.001 85.77 793409.4 73.864 9.576 6.501 55.444 12.241 14.7 303706152.23512 3027 62.35 62.37 25.75 28.68 109.08 31.00 2.03 14.81 9.22 5.78 8.57 9.87 43.93 35.33 128.580 36019319.3 107710 265.13 6.43 285622.34 2414.0 60.96 10.17 20.23 55.450 50.919 34.732 2.27 41405 1.39 676.46 22.34 23.348 22.571 0.754 26.95 20.923 291.580 288.810 14.532 8.747 3.391 16224.024066589 2.765 1.820 361 385 340.676 6.54038 90.67 95.07 40.81 41.28 346.42 51.74 2.92 32.09 17.54 9.65 17.03 16.11 41.68 62.25 220.045 189.309 73.663 9.554 6.498 55.394 12.206 14.7 306973101.38034 3041 62.52 62.66 25.59 28.03 109.82 30.87 2.01 14.85 9.21 5.74 8.58 9.94 43.91 35.14 128.751 35676027.1 108035 266.58 285190.19 2430.1 61.05 10.19 20.42 55.728 50.941 34.742 2.26 41371 1.40 677.47 24.105 22.357 0.763 26.93 20.839 291.667 288.423 14.608 8.744 3.389 16361.802304185 2.797 1.820 297 773293.4 338 340.708 6.54258 90.22 95.06 40.67 41.30 347.04 51.68 2.91 32.14 17.5 9.62 17.01 16.13 41.94 62.36 220.567 190.874 85.09 773292.5 73.799 9.588 6.523 55.435 12.281 14.7 304370948.43380 3047 62.33 62.99 25.59 28.01 109.31 30.73 2.04 14.64 9.15 5.84 8.62 9.89 43.99 35.23 128.158 35792059.2 108044 283.48 6.40 276848.47 2448.5 61.18 10.18 20.25 55.509 50.675 34.628 2.26 41257 1.39 680.10 22.42 23.837 22.900 0.770 27.00 20.978 291.411 288.500 14.340 8.727 3.387 16254.100535113 2.763 1.819 401 765195.3 426 340.664 6.56050 90.85 95.12 40.96 41.32 346.54 51.75 2.92 32.13 17.48 9.62 17.01 16.14 41.86 62.34 220.858 191.382 85.82 782956.1 73.987 9.572 6.495 55.445 12.218 14.7 306350360.81058 3046 62.60 62.83 25.81 28.19 109.54 31.52 2.04 14.69 9.12 5.83 8.69 9.92 44.10 35.85 128.647 36096294.0 107984 264.97 6.42 276710.21 2423.4 61.01 10.1 19.95 55.547 50.873 34.757 2.24 41272 1.39 677.34 22.44 23.727 22.927 0.768 26.85 20.916 292.119 288.490 14.564 8.742 3.410 16267.332790257 2.769 1.820 OpenBenchmarking.org
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.4 4 2 3 90 180 270 360 450 SE +/- 6.74, N = 3 SE +/- 4.91, N = 3 SE +/- 3.92, N = 9 SE +/- 4.90, N = 9 404 401 361 297 1. (CXX) g++ options: -flto -pthread
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 Linux 5.4 3 4 200K 400K 600K 800K 1000K SE +/- 9009.48, N = 12 SE +/- 7240.48, N = 12 SE +/- 9544.04, N = 12 786957.3 773293.4 765195.3
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.4 4 2 3 90 180 270 360 450 SE +/- 1.20, N = 3 SE +/- 4.58, N = 3 SE +/- 3.33, N = 3 SE +/- 2.85, N = 3 438 426 385 338 1. (CXX) g++ options: -flto -pthread
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No 4 2 3 Linux 5.4 70 140 210 280 350 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.10, N = 3 340.66 340.68 340.71 340.78
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.4 2 3 4 2 4 6 8 10 SE +/- 0.00892, N = 3 SE +/- 0.00521, N = 3 SE +/- 0.00580, N = 3 SE +/- 0.00193, N = 3 6.52438 6.54038 6.54258 6.56050
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Linux 5.4 3 2 4 20 40 60 80 100 SE +/- 0.38, N = 3 SE +/- 0.21, N = 3 SE +/- 0.21, N = 3 SE +/- 0.13, N = 3 89.97 90.22 90.67 90.85 MIN: 86.37 / MAX: 95.25 MIN: 87.2 / MAX: 95.93 MIN: 87.25 / MAX: 95.6 MIN: 87.36 / MAX: 95.33 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 Linux 5.4 3 2 4 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 94.98 95.06 95.07 95.12 MIN: 93.08 / MAX: 96.95 MIN: 93.47 / MAX: 97.41 MIN: 92.99 / MAX: 97.7 MIN: 93.25 / MAX: 96.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet 3 Linux 5.4 2 4 9 18 27 36 45 SE +/- 0.16, N = 3 SE +/- 0.26, N = 3 SE +/- 0.29, N = 3 SE +/- 0.21, N = 3 40.67 40.74 40.81 40.96 MIN: 34.17 / MAX: 53.49 MIN: 34.04 / MAX: 53.43 MIN: 34.08 / MAX: 53.99 MIN: 34.27 / MAX: 53.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 2 3 Linux 5.4 4 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 41.28 41.30 41.31 41.32 MIN: 40.22 / MAX: 43.6 MIN: 40.15 / MAX: 43.27 MIN: 40.11 / MAX: 43.66 MIN: 40.2 / MAX: 43.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 2 4 3 Linux 5.4 80 160 240 320 400 SE +/- 0.40, N = 3 SE +/- 0.12, N = 3 SE +/- 0.05, N = 3 SE +/- 0.38, N = 3 346.42 346.54 347.04 347.20 MIN: 328.45 / MAX: 377.97 MIN: 329.3 / MAX: 378.3 MIN: 328.15 / MAX: 377.61 MIN: 327.56 / MAX: 378.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet 3 2 4 Linux 5.4 12 24 36 48 60 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 51.68 51.74 51.75 51.79 MIN: 50.8 / MAX: 52.72 MIN: 50.82 / MAX: 52.73 MIN: 50.77 / MAX: 52.84 MIN: 50.88 / MAX: 52.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface 3 2 4 Linux 5.4 0.666 1.332 1.998 2.664 3.33 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 2.91 2.92 2.92 2.96 MIN: 2.75 / MAX: 3.73 MIN: 2.75 / MAX: 3.79 MIN: 2.77 / MAX: 3.44 MIN: 2.76 / MAX: 4.88 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 Linux 5.4 4 3 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 32.09 32.12 32.13 32.14 MIN: 31.58 / MAX: 33.23 MIN: 31.5 / MAX: 32.93 MIN: 31.62 / MAX: 32.91 MIN: 31.56 / MAX: 32.98 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 4 3 Linux 5.4 2 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 17.48 17.50 17.54 17.54 MIN: 17.06 / MAX: 18.32 MIN: 17.07 / MAX: 18.23 MIN: 17.1 / MAX: 18.53 MIN: 17 / MAX: 18.31 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 Linux 5.4 3 4 2 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 9.62 9.62 9.62 9.65 MIN: 9.16 / MAX: 10.33 MIN: 9.23 / MAX: 10.36 MIN: 9.19 / MAX: 10.38 MIN: 9.25 / MAX: 10.28 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 Linux 5.4 3 4 2 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 17.01 17.01 17.01 17.03 MIN: 16.56 / MAX: 17.62 MIN: 16.6 / MAX: 17.77 MIN: 16.63 / MAX: 17.83 MIN: 16.59 / MAX: 17.85 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 Linux 5.4 3 4 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 16.11 16.13 16.13 16.14 MIN: 15.7 / MAX: 17.14 MIN: 15.69 / MAX: 16.75 MIN: 15.67 / MAX: 16.78 MIN: 15.65 / MAX: 16.98 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 4 3 Linux 5.4 10 20 30 40 50 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.47, N = 3 SE +/- 0.54, N = 3 41.68 41.86 41.94 42.63 MIN: 39.08 / MAX: 44.75 MIN: 39.04 / MAX: 46.2 MIN: 39.16 / MAX: 45.32 MIN: 39.31 / MAX: 45.41 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 Linux 5.4 4 3 14 28 42 56 70 SE +/- 0.11, N = 3 SE +/- 0.23, N = 3 SE +/- 0.09, N = 3 SE +/- 0.36, N = 3 62.25 62.29 62.34 62.36 MIN: 59.82 / MAX: 65.31 MIN: 59.72 / MAX: 64.7 MIN: 59.37 / MAX: 65.14 MIN: 58.92 / MAX: 65.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Timed GDB GNU Debugger Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 9.1 Time To Compile 2 3 4 Linux 5.4 50 100 150 200 250 SE +/- 0.17, N = 3 SE +/- 0.27, N = 3 SE +/- 0.28, N = 3 SE +/- 0.38, N = 3 220.05 220.57 220.86 221.14
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 Linux 5.4 3 4 40 80 120 160 200 SE +/- 1.03, N = 3 SE +/- 1.76, N = 3 SE +/- 1.97, N = 3 SE +/- 1.63, N = 3 189.31 190.00 190.87 191.38 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda 3 Linux 5.4 4 20 40 60 80 100 SE +/- 0.43, N = 3 SE +/- 0.00, N = 2 SE +/- 0.21, N = 3 85.09 85.77 85.82
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 Linux 5.4 4 3 200K 400K 600K 800K 1000K SE +/- 11398.72, N = 4 SE +/- 9916.96, N = 5 SE +/- 7009.04, N = 3 793409.4 782956.1 773292.5
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 2 3 Linux 5.4 4 16 32 48 64 80 SE +/- 0.35, N = 3 SE +/- 0.08, N = 3 SE +/- 0.29, N = 3 SE +/- 0.18, N = 3 73.66 73.80 73.86 73.99 MIN: 72.87 / MAX: 97.35 MIN: 73.14 / MAX: 88.1 MIN: 73.07 / MAX: 85.95 MIN: 73.27 / MAX: 86.03 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 4 Linux 5.4 3 3 6 9 12 15 SE +/- 0.013, N = 3 SE +/- 0.017, N = 3 SE +/- 0.026, N = 3 SE +/- 0.011, N = 3 9.554 9.572 9.576 9.588 MIN: 9.42 / MAX: 11.28 MIN: 9.44 / MAX: 11.42 MIN: 9.45 / MAX: 21.34 MIN: 9.49 / MAX: 16.2 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: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 4 2 Linux 5.4 3 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.009, N = 3 SE +/- 0.004, N = 3 6.495 6.498 6.501 6.523 MIN: 6.45 / MAX: 9.26 MIN: 6.44 / MAX: 8.03 MIN: 6.45 / MAX: 7.34 MIN: 6.46 / MAX: 9.12 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: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 2 3 Linux 5.4 4 12 24 36 48 60 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 55.39 55.44 55.44 55.45 MIN: 55.01 / MAX: 106.24 MIN: 55.1 / MAX: 67.76 MIN: 55.1 / MAX: 67.33 MIN: 55.14 / MAX: 67.54 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: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 2 4 Linux 5.4 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 12.21 12.22 12.24 12.28 MIN: 12.11 / MAX: 19.57 MIN: 12.11 / MAX: 24.49 MIN: 12.11 / MAX: 13.22 MIN: 12.13 / MAX: 24.69 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
Zstd Compression Compression Level: 19 OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 4 3 2 Linux 5.4 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 14.7 14.7 14.7 14.7 1. (CC) gcc options: -O3 -pthread -lz -llzma
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT 2 4 3 Linux 5.4 70M 140M 210M 280M 350M SE +/- 958466.23, N = 3 SE +/- 178984.31, N = 3 SE +/- 1775532.36, N = 3 SE +/- 2152014.41, N = 3 306973101.38 306350360.81 304370948.43 303706152.24 1. (CC) gcc options: -O3 -march=native -lm
VkFFT OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 3 4 2 Linux 5.4 700 1400 2100 2800 3500 SE +/- 0.67, N = 3 SE +/- 1.33, N = 3 SE +/- 10.11, N = 3 3047 3046 3041 3027
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 3 Linux 5.4 2 4 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.16, N = 3 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 62.33 62.35 62.52 62.60 MIN: 58.97 / MAX: 73.33 MIN: 59.09 / MAX: 66.92 MIN: 57.05 / MAX: 66.12 MIN: 57.9 / MAX: 88.49 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 Linux 5.4 2 4 3 14 28 42 56 70 SE +/- 0.09, N = 3 SE +/- 0.66, N = 3 SE +/- 0.35, N = 3 SE +/- 0.76, N = 3 62.37 62.66 62.83 62.99 MIN: 61.31 / MAX: 69.22 MIN: 60.51 / MAX: 70.33 MIN: 61.27 / MAX: 70.91 MIN: 60.88 / MAX: 82.83 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 2 3 Linux 5.4 4 6 12 18 24 30 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 25.59 25.59 25.75 25.81 MIN: 24.99 / MAX: 27.9 MIN: 24.89 / MAX: 28.19 MIN: 25.2 / MAX: 29.47 MIN: 25.09 / MAX: 37.34 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 3 2 4 Linux 5.4 7 14 21 28 35 SE +/- 0.14, N = 3 SE +/- 0.14, N = 3 SE +/- 0.17, N = 3 SE +/- 0.65, N = 3 28.01 28.03 28.19 28.68 MIN: 27.44 / MAX: 31.26 MIN: 27.39 / MAX: 43.04 MIN: 27.47 / MAX: 31.73 MIN: 27.48 / MAX: 42 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 Linux 5.4 3 4 2 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.44, N = 3 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 109.08 109.31 109.54 109.82 MIN: 107.27 / MAX: 122.26 MIN: 106.9 / MAX: 125.2 MIN: 107.29 / MAX: 117.33 MIN: 107.59 / MAX: 122.1 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 3 2 Linux 5.4 4 7 14 21 28 35 SE +/- 0.23, N = 3 SE +/- 0.26, N = 3 SE +/- 0.21, N = 3 SE +/- 0.26, N = 3 30.73 30.87 31.00 31.52 MIN: 30.02 / MAX: 35.54 MIN: 29.93 / MAX: 35.29 MIN: 30.04 / MAX: 34.74 MIN: 30.03 / MAX: 37.28 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 Linux 5.4 3 4 0.459 0.918 1.377 1.836 2.295 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.01 2.03 2.04 2.04 MIN: 1.92 / MAX: 2.28 MIN: 1.94 / MAX: 2.19 MIN: 1.93 / MAX: 2.36 MIN: 1.94 / MAX: 2.17 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 3 4 Linux 5.4 2 4 8 12 16 20 SE +/- 0.19, N = 3 SE +/- 0.09, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 14.64 14.69 14.81 14.85 MIN: 13.68 / MAX: 16.13 MIN: 13.68 / MAX: 16.11 MIN: 13.71 / MAX: 17.03 MIN: 13.7 / MAX: 18.32 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 4 3 2 Linux 5.4 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 9.12 9.15 9.21 9.22 MIN: 8.48 / MAX: 10.15 MIN: 8.47 / MAX: 9.94 MIN: 8.44 / MAX: 10.32 MIN: 8.5 / MAX: 10.64 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 2 Linux 5.4 4 3 1.314 2.628 3.942 5.256 6.57 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 5.74 5.78 5.83 5.84 MIN: 5.21 / MAX: 6.02 MIN: 5.24 / MAX: 6.91 MIN: 5.23 / MAX: 6.03 MIN: 5.23 / MAX: 6.58 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 Linux 5.4 2 3 4 2 4 6 8 10 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 8.57 8.58 8.62 8.69 MIN: 7.88 / MAX: 13.53 MIN: 7.85 / MAX: 10.59 MIN: 7.86 / MAX: 10.22 MIN: 7.86 / MAX: 11.35 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 Linux 5.4 3 4 2 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.07, N = 3 9.87 9.89 9.92 9.94 MIN: 8.95 / MAX: 12.73 MIN: 8.97 / MAX: 11.97 MIN: 8.98 / MAX: 20.55 MIN: 8.91 / MAX: 20.36 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 2 Linux 5.4 3 4 10 20 30 40 50 SE +/- 0.11, N = 3 SE +/- 0.15, N = 3 SE +/- 0.03, N = 3 SE +/- 0.08, N = 3 43.91 43.93 43.99 44.10 MIN: 42 / MAX: 46.77 MIN: 41.99 / MAX: 47.2 MIN: 42.14 / MAX: 45.69 MIN: 42.13 / MAX: 55.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 2 3 Linux 5.4 4 8 16 24 32 40 SE +/- 0.25, N = 3 SE +/- 0.17, N = 3 SE +/- 0.25, N = 3 SE +/- 0.36, N = 3 35.14 35.23 35.33 35.85 MIN: 32.24 / MAX: 47.09 MIN: 32.61 / MAX: 38.51 MIN: 33.03 / MAX: 37.53 MIN: 32.64 / MAX: 43.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 3 Linux 5.4 4 2 30 60 90 120 150 SE +/- 0.31, N = 3 SE +/- 0.24, N = 3 SE +/- 0.13, N = 3 SE +/- 0.54, N = 3 128.16 128.58 128.65 128.75 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 4 Linux 5.4 3 2 8M 16M 24M 32M 40M SE +/- 48013.38, N = 3 SE +/- 93709.00, N = 3 SE +/- 400142.57, N = 3 SE +/- 146283.90, N = 3 36096294.0 36019319.3 35792059.2 35676027.1
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Linux 5.4 4 2 3 20K 40K 60K 80K 100K SE +/- 279.29, N = 3 SE +/- 260.33, N = 3 SE +/- 67.16, N = 3 SE +/- 343.88, N = 3 107710 107984 108035 108044 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 3 2 Linux 5.4 4 60 120 180 240 300 SE +/- 1.06, N = 3 SE +/- 2.67, N = 8 SE +/- 2.45, N = 3 SE +/- 2.18, N = 3 283.48 266.58 265.13 264.97 MIN: 190.36 / MAX: 387.21 MIN: 179.09 / MAX: 387.07 MIN: 176.52 / MAX: 363.75 MIN: 181.77 / MAX: 363.73 1. mpv 0.32.0
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression 3 4 Linux 5.4 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 6.40 6.42 6.43
KeyDB OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 Linux 5.4 2 3 4 60K 120K 180K 240K 300K SE +/- 4260.65, N = 3 SE +/- 3502.27, N = 5 SE +/- 3748.57, N = 3 SE +/- 2716.69, N = 3 285622.34 285190.19 276848.47 276710.21 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Zstd Compression Compression Level: 3 OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 3 2 4 Linux 5.4 500 1000 1500 2000 2500 SE +/- 17.00, N = 3 SE +/- 12.30, N = 3 SE +/- 11.18, N = 3 SE +/- 14.64, N = 3 2448.5 2430.1 2423.4 2414.0 1. (CC) gcc options: -O3 -pthread -lz -llzma
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica Linux 5.4 4 2 3 14 28 42 56 70 SE +/- 0.51, N = 3 SE +/- 0.72, N = 3 SE +/- 0.64, N = 3 SE +/- 0.39, N = 3 60.96 61.01 61.05 61.18
AOM AV1 Encoder Mode: Speed 6 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime 2 3 Linux 5.4 4 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 10.19 10.18 10.17 10.10 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark 2 3 Linux 5.4 4 5 10 15 20 25 SE +/- 0.17, N = 3 SE +/- 0.22, N = 3 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 20.42 20.25 20.23 19.95 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
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 Linux 5.4 3 4 2 13 26 39 52 65 SE +/- 0.05, N = 3 SE +/- 0.16, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 55.45 55.51 55.55 55.73 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
dcraw RAW To PPM Image Conversion OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion 3 4 Linux 5.4 2 11 22 33 44 55 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 50.68 50.87 50.92 50.94 1. (CC) gcc options: -lm
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis 3 Linux 5.4 2 4 8 16 24 32 40 SE +/- 0.03, N = 4 SE +/- 0.11, N = 4 SE +/- 0.09, N = 4 SE +/- 0.04, N = 4 34.63 34.73 34.74 34.76 1. (CC) gcc options: -O2 -std=c99
AOM AV1 Encoder Mode: Speed 6 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Linux 5.4 3 2 4 0.5108 1.0216 1.5324 2.0432 2.554 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.27 2.26 2.26 2.24 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 3 4 2 Linux 5.4 9K 18K 27K 36K 45K SE +/- 110.34, N = 3 SE +/- 189.67, N = 3 SE +/- 32.54, N = 3 SE +/- 127.82, N = 3 41257 41272 41371 41405 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
AOM AV1 Encoder Mode: Speed 4 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass 2 4 3 Linux 5.4 0.315 0.63 0.945 1.26 1.575 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.40 1.39 1.39 1.39 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 3 2 4 Linux 5.4 150 300 450 600 750 SE +/- 1.96, N = 3 SE +/- 1.22, N = 3 SE +/- 2.69, N = 3 SE +/- 1.50, N = 3 680.10 677.47 677.34 676.46 MIN: 461.69 / MAX: 922.69 MIN: 461.28 / MAX: 923.34 MIN: 479.6 / MAX: 923.36 MIN: 499.55 / MAX: 923.32 1. mpv 0.32.0
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.4 3 4 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 22.34 22.42 22.44
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 Linux 5.4 4 3 2 6 12 18 24 30 SE +/- 0.36, N = 3 SE +/- 0.30, N = 3 SE +/- 0.34, N = 4 SE +/- 0.05, N = 3 23.35 23.73 23.84 24.11 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
RNNoise OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 2 Linux 5.4 3 4 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.24, N = 3 SE +/- 0.34, N = 4 SE +/- 0.13, N = 3 22.36 22.57 22.90 22.93 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein 3 4 2 Linux 5.4 0.1733 0.3466 0.5199 0.6932 0.8665 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 0.770 0.768 0.763 0.754 1. (CXX) g++ options: -O3 -lm
AOM AV1 Encoder Mode: Speed 8 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime 3 Linux 5.4 2 4 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 27.00 26.95 26.93 26.85 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics 2 4 Linux 5.4 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.07, N = 3 SE +/- 0.11, N = 3 20.84 20.92 20.92 20.98
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 3 Linux 5.4 2 4 60 120 180 240 300 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.29, N = 3 SE +/- 0.19, N = 3 291.41 291.58 291.67 292.12 MIN: 290.58 / MAX: 299.43 MIN: 290.45 / MAX: 299.85 MIN: 290.34 / MAX: 300.21 MIN: 291.06 / MAX: 300.06 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 2 4 3 Linux 5.4 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 SE +/- 0.23, N = 3 288.42 288.49 288.50 288.81 MIN: 287.9 / MAX: 288.99 MIN: 287.92 / MAX: 289.43 MIN: 288.13 / MAX: 288.88 MIN: 288.01 / MAX: 289.57 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA 3 Linux 5.4 4 2 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 SE +/- 0.17, N = 3 14.34 14.53 14.56 14.61 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
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 3 4 2 Linux 5.4 2 4 6 8 10 SE +/- 0.002, N = 3 SE +/- 0.009, N = 3 SE +/- 0.010, N = 3 SE +/- 0.001, N = 3 8.727 8.742 8.744 8.747 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
System GZIP Decompression OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression 3 2 Linux 5.4 4 0.7673 1.5346 2.3019 3.0692 3.8365 SE +/- 0.037, N = 3 SE +/- 0.023, N = 3 SE +/- 0.021, N = 3 SE +/- 0.050, N = 3 3.387 3.389 3.391 3.410
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine 2 4 3 Linux 5.4 4K 8K 12K 16K 20K SE +/- 250.01, N = 3 SE +/- 100.42, N = 3 SE +/- 130.68, N = 3 SE +/- 38.82, N = 3 16361.80 16267.33 16254.10 16224.02 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 3 Linux 5.4 4 2 0.6293 1.2586 1.8879 2.5172 3.1465 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.028, N = 3 2.763 2.765 2.769 2.797 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 3 Linux 5.4 2 4 0.4095 0.819 1.2285 1.638 2.0475 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 1.819 1.820 1.820 1.820 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Phoronix Test Suite v10.8.4