Intel Core i5-6500 testing with a Gigabyte Z170M-D3H-CF (F22f BIOS) and Gigabyte Intel HD 530 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 2009292-FI-SKYLAKECO34 Skylake Core i5 6500 - Phoronix Test Suite Skylake Core i5 6500 Intel Core i5-6500 testing with a Gigabyte Z170M-D3H-CF (F22f BIOS) and Gigabyte Intel HD 530 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009292-FI-SKYLAKECO34&gru&sor&rro .
Skylake Core i5 6500 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Compiler File-System Screen Resolution Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 Intel Core i5-6500 @ 3.60GHz (4 Cores) Gigabyte Z170M-D3H-CF (F22f BIOS) Intel Xeon E3-1200 v5/E3-1500 8GB 250GB Samsung SSD 850 Gigabyte Intel HD 530 3GB (1050MHz) Realtek ALC892 G237HL Intel I219-V Ubuntu 20.04 5.4.0-45-generic (x86_64) 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 5.8.12-050812-generic (x86_64) 5.9.0-050900rc7daily20200929-generic (x86_64) 20200928 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: 0xdc Python Details - Python 3.8.2 Security Details - Linux 5.4: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled - Linux 5.8.12: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled - Linux 5.9-rc7: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled
Skylake Core i5 6500 mpv: Big Buck Bunny Sunflower 4K - Software Only mpv: Big Buck Bunny Sunflower 1080p - Software Only aom-av1: Speed 6 Realtime aom-av1: Speed 6 Two-Pass aom-av1: Speed 8 Realtime byte: Dhrystone 2 ffte: N=256, 3D Complex FFT Routine libraw: Post-Processing Benchmark lczero: BLAS lczero: Eigen gromacs: Water Benchmark lammps: Rhodopsin Protein keydb: hint: FLOAT glmark2: 1920 x 1080 influxdb: 4 - 10000 - 2,5000,1 - 10000 influxdb: 64 - 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: GoogleNet - CPU - 100 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 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 ncnn: Vulkan GPU - squeezenet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 opencv: DNN - Deep Neural Network realsr-ncnn: 4x - No dolfyn: Computational Fluid Dynamics hmmer: Pfam Database Search incompact3d: Cylinder mafft: Multiple Sequence Alignment - LSU RNA mocassin: Dust 2D tau100.0 espeak: Text-To-Speech Synthesis system-decompress-gzip: couchdb: 100 - 1000 - 24 mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 74.83 204.04 12.96 2.69 32.84 35634715.8 17566.367941500 23.08 852 810 0.469 2.533 241149.57 361421279.16012 484 875726.3 899170.0 4.98990 1.874 2.942 21.606 8.786 53.058 38264 93409 8.523 37.345 4.952 6.351 50.422 27.13 31.35 7.98 7.04 4.98 7.18 11.37 1.96 27.20 97.23 28.12 25.85 53.29 46.19 106.56 98.34 33.67 37.84 23.21 34.91 70.82 6.47 91.34 280.10 79.88 106.85 146.09 145.04 377.119 372.485 38827 17.282 23.366 130.872 813.295349 12.893 329 33.998 3.577 232.895 60.22 80.48 29.53 5.14 75.21 207.08 12.98 2.69 32.63 35578653.6 17695.538070112 23.05 834 759 0.466 2.536 242725.17 359752768.98517 498 848096.4 881495.6 5.00306 1.893 2.957 21.834 8.833 53.228 38284 93347 8.523 37.198 4.957 6.344 50.436 27.18 31.35 7.99 7.09 5.00 7.20 11.40 1.96 27.25 98.29 28.13 25.94 53.31 46.33 47.62 41.73 13.51 14.92 9.41 13.91 28.10 3.45 38.51 231.43 34.03 53.67 82.22 81.87 373.414 375.855 23997 303.112 23.420 130.644 815.482341 12.743 329 34.471 3.591 209.267 62.46 80.38 29.47 4.57 75.22 206.86 12.95 2.68 32.72 35158099.5 17854.791823564 23.06 827 789 0.472 2.525 244927.94 359707021.11346 499 847939.2 887270.8 4.98427 1.880 2.959 21.697 8.823 53.306 38398 93209 8.523 37.289 4.951 6.348 50.404 27.18 31.34 7.97 7.07 5.00 7.18 11.39 1.96 27.25 98.00 28.14 25.92 53.32 46.27 47.60 41.18 13.52 14.94 11.23 13.92 28.11 3.19 38.50 232.40 34.04 54.56 82.20 81.88 374.253 374.335 23722 301.102 23.466 130.974 812.175049 12.832 329 33.888 3.583 208.272 60.88 80.15 29.51 4.56 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 74.83 75.21 75.22 MIN: 69.77 / MAX: 76.92 MIN: 72.29 / MAX: 77.42 MIN: 71.43 / MAX: 76.92 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 50 100 150 200 250 SE +/- 0.12, N = 3 SE +/- 0.26, N = 3 SE +/- 0.19, N = 3 204.04 206.86 207.08 MIN: 176.47 / MAX: 210.53 MIN: 184.61 / MAX: 214.29 MIN: 187.5 / MAX: 214.29 1. mpv 0.32.0
AOM AV1 Encoder Mode: Speed 6 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Linux 5.9-rc7 Linux 5.4 Linux 5.8.12 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 12.95 12.96 12.98 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 5.9-rc7 Linux 5.4 Linux 5.8.12 0.6053 1.2106 1.8159 2.4212 3.0265 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.68 2.69 2.69 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 8 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 8 16 24 32 40 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 32.63 32.72 32.84 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 8M 16M 24M 32M 40M SE +/- 379392.18, N = 3 SE +/- 24647.42, N = 3 SE +/- 94345.36, N = 3 35158099.5 35578653.6 35634715.8
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 4K 8K 12K 16K 20K SE +/- 86.25, N = 3 SE +/- 28.87, N = 3 SE +/- 23.53, N = 3 17566.37 17695.54 17854.79 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 23.05 23.06 23.08 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 200 400 600 800 1000 SE +/- 11.68, N = 3 SE +/- 10.68, N = 3 SE +/- 10.71, N = 3 827 834 852 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 200 400 600 800 1000 SE +/- 25.74, N = 9 SE +/- 3.76, N = 3 SE +/- 4.16, N = 3 759 789 810 1. (CXX) g++ options: -flto -pthread
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 0.1062 0.2124 0.3186 0.4248 0.531 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 0.466 0.469 0.472 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Linux 5.9-rc7 Linux 5.4 Linux 5.8.12 0.5706 1.1412 1.7118 2.2824 2.853 SE +/- 0.008, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 2.525 2.533 2.536 1. (CXX) g++ options: -O3 -pthread -lm
KeyDB OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 50K 100K 150K 200K 250K SE +/- 3306.37, N = 3 SE +/- 955.90, N = 3 SE +/- 1344.20, N = 3 241149.57 242725.17 244927.94 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 80M 160M 240M 320M 400M SE +/- 1096433.24, N = 3 SE +/- 663932.51, N = 3 SE +/- 643821.23, N = 3 359707021.11 359752768.99 361421279.16 1. (CC) gcc options: -O3 -march=native -lm
GLmark2 Resolution: 1920 x 1080 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1080 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 110 220 330 440 550 484 498 499
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 5.9-rc7 Linux 5.8.12 Linux 5.4 200K 400K 600K 800K 1000K SE +/- 4569.93, N = 3 SE +/- 3662.55, N = 3 SE +/- 2073.62, N = 3 847939.2 848096.4 875726.3
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 5.8.12 Linux 5.9-rc7 Linux 5.4 200K 400K 600K 800K 1000K SE +/- 3245.06, N = 3 SE +/- 1134.63, N = 3 SE +/- 511.25, N = 3 881495.6 887270.8 899170.0
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 1.1257 2.2514 3.3771 4.5028 5.6285 SE +/- 0.00940, N = 3 SE +/- 0.00250, N = 3 SE +/- 0.00100, N = 3 5.00306 4.98990 4.98427
WebP Image Encode Encode Settings: Default OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 0.4259 0.8518 1.2777 1.7036 2.1295 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 1.893 1.880 1.874 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 0.6658 1.3316 1.9974 2.6632 3.329 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 2.959 2.957 2.942 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 21.83 21.70 21.61 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 SE +/- 0.003, N = 3 8.833 8.823 8.786 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 12 24 36 48 60 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 53.31 53.23 53.06 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 8K 16K 24K 32K 40K SE +/- 17.48, N = 3 SE +/- 20.34, N = 3 SE +/- 13.43, N = 3 38398 38284 38264 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20K 40K 60K 80K 100K SE +/- 21.06, N = 3 SE +/- 54.31, N = 3 SE +/- 32.90, N = 3 93409 93347 93209 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.004, N = 3 SE +/- 0.017, N = 3 8.523 8.523 8.523 MIN: 8.47 / MAX: 18.94 MIN: 8.48 / MAX: 10.43 MIN: 8.47 / MAX: 30.24 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 37.35 37.29 37.20 MIN: 37.19 / MAX: 47.93 MIN: 37.16 / MAX: 46.49 MIN: 37.07 / MAX: 39.66 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 Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 1.1153 2.2306 3.3459 4.4612 5.5765 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 4.957 4.952 4.951 MIN: 4.89 / MAX: 15.09 MIN: 4.9 / MAX: 10.09 MIN: 4.9 / MAX: 6.56 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.009, N = 3 SE +/- 0.008, N = 3 6.351 6.348 6.344 MIN: 6.3 / MAX: 7.1 MIN: 6.29 / MAX: 16.53 MIN: 6.29 / MAX: 17.22 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: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 50.44 50.42 50.40 MIN: 50.22 / MAX: 69.18 MIN: 50.15 / MAX: 103.7 MIN: 50.25 / MAX: 52.84 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: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 6 12 18 24 30 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 27.18 27.18 27.13 MIN: 27.11 / MAX: 27.89 MIN: 27.11 / MAX: 27.94 MIN: 27 / MAX: 27.87 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 Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 31.35 31.35 31.34 MIN: 31.22 / MAX: 33.49 MIN: 31.17 / MAX: 42.2 MIN: 31.17 / MAX: 41.98 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 5.8.12 Linux 5.4 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 7.99 7.98 7.97 MIN: 7.9 / MAX: 9.5 MIN: 7.89 / MAX: 9.56 MIN: 7.89 / MAX: 9.61 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 5.8.12 Linux 5.9-rc7 Linux 5.4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.09 7.07 7.04 MIN: 7 / MAX: 8.42 MIN: 6.97 / MAX: 8.32 MIN: 6.94 / MAX: 8.58 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 1.125 2.25 3.375 4.5 5.625 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.00 5.00 4.98 MIN: 4.96 / MAX: 6.22 MIN: 4.97 / MAX: 6.43 MIN: 4.94 / MAX: 6.74 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.20 7.18 7.18 MIN: 7.16 / MAX: 7.94 MIN: 7.14 / MAX: 7.96 MIN: 7.12 / MAX: 7.41 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 11.40 11.39 11.37 MIN: 11.35 / MAX: 11.62 MIN: 11.35 / MAX: 11.64 MIN: 11.33 / MAX: 12.08 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 0.441 0.882 1.323 1.764 2.205 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.96 1.96 1.96 MIN: 1.94 / MAX: 2 MIN: 1.94 / MAX: 1.98 MIN: 1.93 / MAX: 2.01 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 27.25 27.25 27.20 MIN: 27.16 / MAX: 37.12 MIN: 27.14 / MAX: 29.06 MIN: 27.11 / MAX: 29.45 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 5.8.12 Linux 5.9-rc7 Linux 5.4 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 SE +/- 0.07, N = 3 98.29 98.00 97.23 MIN: 97.96 / MAX: 110 MIN: 97.55 / MAX: 166.63 MIN: 96.99 / MAX: 99.72 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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 28.14 28.13 28.12 MIN: 28.02 / MAX: 38.82 MIN: 28 / MAX: 28.81 MIN: 27.99 / MAX: 38.94 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 25.94 25.92 25.85 MIN: 25.83 / MAX: 36.18 MIN: 25.84 / MAX: 28.39 MIN: 25.7 / MAX: 36.52 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 5.9-rc7 Linux 5.8.12 Linux 5.4 12 24 36 48 60 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.04, N = 3 53.32 53.31 53.29 MIN: 53.13 / MAX: 55.45 MIN: 53.17 / MAX: 54.97 MIN: 53.09 / MAX: 55.52 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.09, N = 3 46.33 46.27 46.19 MIN: 46.18 / MAX: 57.14 MIN: 46.13 / MAX: 48.86 MIN: 45.98 / MAX: 53.65 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 106.56 47.62 47.60 MIN: 94.44 / MAX: 110.02 MIN: 46.74 / MAX: 50.53 MIN: 46.74 / MAX: 48.2 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.13, N = 3 SE +/- 0.42, N = 3 SE +/- 0.12, N = 3 98.34 41.73 41.18 MIN: 83.82 / MAX: 111.51 MIN: 40.79 / MAX: 43.35 MIN: 39.01 / MAX: 46.61 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 33.67 13.52 13.51 MIN: 33.16 / MAX: 34.23 MIN: 12.94 / MAX: 13.79 MIN: 12.94 / MAX: 13.73 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 Linux 5.9-rc7 Linux 5.8.12 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 37.84 14.94 14.92 MIN: 35.77 / MAX: 39.25 MIN: 14.62 / MAX: 15.16 MIN: 14.63 / MAX: 15.25 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 Linux 5.9-rc7 Linux 5.8.12 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.26, N = 3 SE +/- 0.04, N = 3 23.21 11.23 9.41 MIN: 22 / MAX: 23.54 MIN: 9.84 / MAX: 11.8 MIN: 9.3 / MAX: 9.57 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 34.91 13.92 13.91 MIN: 34.28 / MAX: 35.51 MIN: 13.36 / MAX: 14.07 MIN: 13.33 / MAX: 14.34 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 16 32 48 64 80 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 70.82 28.11 28.10 MIN: 67.97 / MAX: 71.79 MIN: 27.78 / MAX: 28.19 MIN: 27.57 / MAX: 28.3 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.51, N = 3 SE +/- 0.08, N = 3 6.47 3.45 3.19 MIN: 6.21 / MAX: 6.64 MIN: 2.51 / MAX: 4.7 MIN: 2.7 / MAX: 3.88 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 1.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 91.34 38.51 38.50 MIN: 38.08 / MAX: 95.25 MIN: 37.99 / MAX: 38.81 MIN: 38.14 / MAX: 38.64 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 60 120 180 240 300 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.81, N = 3 280.10 232.40 231.43 MIN: 256.74 / MAX: 282.55 MIN: 230.34 / MAX: 234.55 MIN: 228.89 / MAX: 235.7 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 79.88 34.04 34.03 MIN: 76.6 / MAX: 85.24 MIN: 33.67 / MAX: 34.15 MIN: 33.72 / MAX: 34.19 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 20 40 60 80 100 SE +/- 0.73, N = 3 SE +/- 0.61, N = 3 SE +/- 0.39, N = 3 106.85 54.56 53.67 MIN: 78.19 / MAX: 113.8 MIN: 50.81 / MAX: 59.02 MIN: 51.17 / MAX: 57.01 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 Linux 5.8.12 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 146.09 82.22 82.20 MIN: 135.88 / MAX: 146.68 MIN: 81.68 / MAX: 82.64 MIN: 81.55 / MAX: 82.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 145.04 81.88 81.87 MIN: 136.72 / MAX: 187.82 MIN: 81.15 / MAX: 87.76 MIN: 71.55 / MAX: 144.6 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 Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 80 160 240 320 400 SE +/- 0.73, N = 3 SE +/- 0.60, N = 3 SE +/- 0.30, N = 3 377.12 374.25 373.41 MIN: 374.83 / MAX: 380.72 MIN: 372.56 / MAX: 376.35 MIN: 371.7 / MAX: 375.12 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 80 160 240 320 400 SE +/- 1.39, N = 3 SE +/- 0.06, N = 3 SE +/- 0.19, N = 3 375.86 374.34 372.49 MIN: 373.72 / MAX: 386.23 MIN: 373.3 / MAX: 375.69 MIN: 371.66 / MAX: 374.46 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 8K 16K 24K 32K 40K SE +/- 10920.49, N = 15 SE +/- 290.40, N = 6 SE +/- 204.95, N = 3 38827 23997 23722 1. (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.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 70 140 210 280 350 SE +/- 2.23, N = 3 SE +/- 0.19, N = 3 SE +/- 0.30, N = 3 303.11 301.10 17.28
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 23.47 23.42 23.37
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Linux 5.9-rc7 Linux 5.4 Linux 5.8.12 30 60 90 120 150 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 130.97 130.87 130.64 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 200 400 600 800 1000 SE +/- 1.74, N = 3 SE +/- 0.79, N = 3 SE +/- 0.59, N = 3 815.48 813.30 812.18 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 3 6 9 12 15 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 12.89 12.83 12.74 1. (CC) gcc options: -std=c99 -O3 -lm -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 Linux 5.9-rc7 Linux 5.8.12 Linux 5.4 70 140 210 280 350 329 329 329 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.8.12 Linux 5.4 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.07, N = 4 SE +/- 0.31, N = 4 SE +/- 0.22, N = 4 34.47 34.00 33.89 1. (CC) gcc options: -O2 -std=c99
System GZIP Decompression OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 0.808 1.616 2.424 3.232 4.04 SE +/- 0.037, N = 13 SE +/- 0.034, N = 13 SE +/- 0.036, N = 15 3.591 3.583 3.577
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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 50 100 150 200 250 SE +/- 0.38, N = 3 SE +/- 0.81, N = 3 SE +/- 1.02, N = 3 232.90 209.27 208.27 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 Linux 5.8.12 Linux 5.9-rc7 Linux 5.4 14 28 42 56 70 SE +/- 0.78, N = 5 SE +/- 0.56, N = 10 SE +/- 0.07, N = 3 62.46 60.88 60.22
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.26, N = 3 SE +/- 0.25, N = 3 SE +/- 0.49, N = 3 80.48 80.38 80.15
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.4 Linux 5.9-rc7 Linux 5.8.12 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 29.53 29.51 29.47
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 1.1565 2.313 3.4695 4.626 5.7825 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 5.14 4.57 4.56
Phoronix Test Suite v10.8.4