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&grs&rdt .
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 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - squeezenet realsr-ncnn: 4x - No ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - vgg16 mlpack: scikit_linearridgeregression couchdb: 100 - 1000 - 24 mlpack: scikit_ica influxdb: 4 - 10000 - 2,5000,1 - 10000 glmark2: 1920 x 1080 lczero: BLAS influxdb: 64 - 10000 - 2,5000,1 - 10000 espeak: Text-To-Speech Synthesis ffte: N=256, 3D Complex FFT Routine keydb: mpv: Big Buck Bunny Sunflower 1080p - Software Only byte: Dhrystone 2 gromacs: Water Benchmark mafft: Multiple Sequence Alignment - LSU RNA ncnn: CPU - vgg16 webp: Quality 100, Lossless webp: Default tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 ncnn: CPU-v3-v3 - mobilenet-v3 aom-av1: Speed 8 Realtime webp: Quality 100 webp: Quality 100, Highest Compression mpv: Big Buck Bunny Sunflower 4K - Software Only hint: FLOAT webp: Quality 100, Lossless, Highest Compression lammps: Rhodopsin Protein dolfyn: Computational Fluid Dynamics mlpack: scikit_qda incompact3d: Cylinder ncnn: CPU - shufflenet-v2 mnn: resnet-v2-50 system-decompress-gzip: namd: ATPase Simulation - 327,506 Atoms aom-av1: Speed 6 Two-Pass caffe: AlexNet - CPU - 100 ncnn: CPU - alexnet ncnn: CPU - yolov4-tiny ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 hmmer: Pfam Database Search ncnn: CPU-v2-v2 - mobilenet-v2 aom-av1: Speed 6 Realtime caffe: GoogleNet - CPU - 100 mlpack: scikit_svm ncnn: CPU - squeezenet ncnn: CPU - googlenet libraw: Post-Processing Benchmark mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 ncnn: CPU - resnet18 mnn: inception-v3 ncnn: CPU - resnet50 ncnn: CPU - mobilenet ncnn: CPU - blazeface mnn: SqueezeNetV1.0 mocassin: Dust 2D tau100.0 opencv: DNN - Deep Neural Network ncnn: Vulkan GPU - blazeface lczero: Eigen Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 37.84 70.82 34.91 33.67 23.21 98.34 91.34 79.88 106.56 17.282 106.85 146.09 145.04 280.10 5.14 232.895 60.22 875726.3 484 852 899170.0 33.998 17566.367941500 241149.57 204.04 35634715.8 0.469 12.893 97.23 21.606 1.874 377.119 372.485 7.04 32.84 2.942 8.786 74.83 361421279.16012 53.058 2.533 23.366 80.48 813.295349 4.98 37.345 3.577 4.98990 2.69 38264 25.85 46.19 7.18 11.37 130.872 7.98 12.96 93409 29.53 27.13 27.20 23.08 4.952 6.351 28.12 50.422 53.29 31.35 1.96 8.523 329 38827 6.47 810 14.92 28.10 13.91 13.51 9.41 41.73 38.51 34.03 47.62 303.112 53.67 82.22 81.87 231.43 4.57 209.267 62.46 848096.4 498 834 881495.6 34.471 17695.538070112 242725.17 207.08 35578653.6 0.466 12.743 98.29 21.834 1.893 373.414 375.855 7.09 32.63 2.957 8.833 75.21 359752768.98517 53.228 2.536 23.420 80.38 815.482341 5.00 37.198 3.591 5.00306 2.69 38284 25.94 46.33 7.20 11.40 130.644 7.99 12.98 93347 29.47 27.18 27.25 23.05 4.957 6.344 28.13 50.436 53.31 31.35 1.96 8.523 329 23997 3.45 759 14.94 28.11 13.92 13.52 11.23 41.18 38.50 34.04 47.60 301.102 54.56 82.20 81.88 232.40 4.56 208.272 60.88 847939.2 499 827 887270.8 33.888 17854.791823564 244927.94 206.86 35158099.5 0.472 12.832 98.00 21.697 1.880 374.253 374.335 7.07 32.72 2.959 8.823 75.22 359707021.11346 53.306 2.525 23.466 80.15 812.175049 5.00 37.289 3.583 4.98427 2.68 38398 25.92 46.27 7.18 11.39 130.974 7.97 12.95 93209 29.51 27.18 27.25 23.06 4.951 6.348 28.14 50.404 53.32 31.34 1.96 8.523 329 23722 3.19 789 OpenBenchmarking.org
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 5.8.12 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 37.84 14.92 14.94 MIN: 35.77 / MAX: 39.25 MIN: 14.63 / MAX: 15.25 MIN: 14.62 / MAX: 15.16 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 5.8.12 Linux 5.9-rc7 16 32 48 64 80 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 70.82 28.10 28.11 MIN: 67.97 / MAX: 71.79 MIN: 27.57 / MAX: 28.3 MIN: 27.78 / MAX: 28.19 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 5.8.12 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 34.91 13.91 13.92 MIN: 34.28 / MAX: 35.51 MIN: 13.33 / MAX: 14.34 MIN: 13.36 / MAX: 14.07 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 5.8.12 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 33.67 13.51 13.52 MIN: 33.16 / MAX: 34.23 MIN: 12.94 / MAX: 13.73 MIN: 12.94 / MAX: 13.79 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 5.8.12 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.26, N = 3 23.21 9.41 11.23 MIN: 22 / MAX: 23.54 MIN: 9.3 / MAX: 9.57 MIN: 9.84 / MAX: 11.8 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 - 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: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 79.88 34.03 34.04 MIN: 76.6 / MAX: 85.24 MIN: 33.72 / MAX: 34.19 MIN: 33.67 / MAX: 34.15 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
RealSR-NCNN Scale: 4x - TAA: No OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 70 140 210 280 350 SE +/- 0.30, N = 3 SE +/- 2.23, N = 3 SE +/- 0.19, N = 3 17.28 303.11 301.10
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.73, N = 3 SE +/- 0.39, N = 3 SE +/- 0.61, N = 3 106.85 53.67 54.56 MIN: 78.19 / MAX: 113.8 MIN: 51.17 / MAX: 57.01 MIN: 50.81 / MAX: 59.02 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 5.8.12 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 145.04 81.87 81.88 MIN: 136.72 / MAX: 187.82 MIN: 71.55 / MAX: 144.6 MIN: 81.15 / MAX: 87.76 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 5.8.12 Linux 5.9-rc7 60 120 180 240 300 SE +/- 0.05, N = 3 SE +/- 0.81, N = 3 SE +/- 0.04, N = 3 280.10 231.43 232.40 MIN: 256.74 / MAX: 282.55 MIN: 228.89 / MAX: 235.7 MIN: 230.34 / MAX: 234.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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
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 5.4 Linux 5.8.12 Linux 5.9-rc7 14 28 42 56 70 SE +/- 0.07, N = 3 SE +/- 0.78, N = 5 SE +/- 0.56, N = 10 60.22 62.46 60.88
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 Linux 5.8.12 Linux 5.9-rc7 200K 400K 600K 800K 1000K SE +/- 2073.62, N = 3 SE +/- 3662.55, N = 3 SE +/- 4569.93, N = 3 875726.3 848096.4 847939.2
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
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 200 400 600 800 1000 SE +/- 10.71, N = 3 SE +/- 10.68, N = 3 SE +/- 11.68, N = 3 852 834 827 1. (CXX) g++ options: -flto -pthread
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 Linux 5.8.12 Linux 5.9-rc7 200K 400K 600K 800K 1000K SE +/- 511.25, N = 3 SE +/- 3245.06, N = 3 SE +/- 1134.63, N = 3 899170.0 881495.6 887270.8
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.31, N = 4 SE +/- 0.07, N = 4 SE +/- 0.22, N = 4 34.00 34.47 33.89 1. (CC) gcc options: -O2 -std=c99
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
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
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 5.8.12 Linux 5.9-rc7 50 100 150 200 250 SE +/- 0.12, N = 3 SE +/- 0.19, N = 3 SE +/- 0.26, N = 3 204.04 207.08 206.86 MIN: 176.47 / MAX: 210.53 MIN: 187.5 / MAX: 214.29 MIN: 184.61 / MAX: 214.29 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 8M 16M 24M 32M 40M SE +/- 94345.36, N = 3 SE +/- 24647.42, N = 3 SE +/- 379392.18, N = 3 35634715.8 35578653.6 35158099.5
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 0.1062 0.2124 0.3186 0.4248 0.531 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 0.469 0.466 0.472 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
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 5.8.12 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.19, N = 3 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 12.89 12.74 12.83 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.21, N = 3 97.23 98.29 98.00 MIN: 96.99 / MAX: 99.72 MIN: 97.96 / MAX: 110 MIN: 97.55 / MAX: 166.63 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 21.61 21.83 21.70 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 0.4259 0.8518 1.2777 1.7036 2.1295 SE +/- 0.002, N = 3 SE +/- 0.011, N = 3 SE +/- 0.001, N = 3 1.874 1.893 1.880 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 80 160 240 320 400 SE +/- 0.73, N = 3 SE +/- 0.30, N = 3 SE +/- 0.60, N = 3 377.12 373.41 374.25 MIN: 374.83 / MAX: 380.72 MIN: 371.7 / MAX: 375.12 MIN: 372.56 / MAX: 376.35 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 5.4 Linux 5.8.12 Linux 5.9-rc7 80 160 240 320 400 SE +/- 0.19, N = 3 SE +/- 1.39, N = 3 SE +/- 0.06, N = 3 372.49 375.86 374.34 MIN: 371.66 / MAX: 374.46 MIN: 373.72 / MAX: 386.23 MIN: 373.3 / MAX: 375.69 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
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 Linux 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 7.04 7.09 7.07 MIN: 6.94 / MAX: 8.58 MIN: 7 / MAX: 8.42 MIN: 6.97 / MAX: 8.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -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 5.4 Linux 5.8.12 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 32.84 32.63 32.72 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 0.6658 1.3316 1.9974 2.6632 3.329 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 2.942 2.957 2.959 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 5.4 Linux 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.006, N = 3 SE +/- 0.010, N = 3 8.786 8.833 8.823 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
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
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 80M 160M 240M 320M 400M SE +/- 643821.23, N = 3 SE +/- 663932.51, N = 3 SE +/- 1096433.24, N = 3 361421279.16 359752768.99 359707021.11 1. (CC) gcc options: -O3 -march=native -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 Linux 5.8.12 Linux 5.9-rc7 12 24 36 48 60 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 53.06 53.23 53.31 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 0.5706 1.1412 1.7118 2.2824 2.853 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 2.533 2.536 2.525 1. (CXX) g++ options: -O3 -pthread -lm
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 23.37 23.42 23.47
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
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 200 400 600 800 1000 SE +/- 0.79, N = 3 SE +/- 1.74, N = 3 SE +/- 0.59, N = 3 813.30 815.48 812.18 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 1.125 2.25 3.375 4.5 5.625 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.98 5.00 5.00 MIN: 4.94 / MAX: 6.74 MIN: 4.97 / MAX: 6.43 MIN: 4.96 / MAX: 6.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 5.8.12 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 37.35 37.20 37.29 MIN: 37.19 / MAX: 47.93 MIN: 37.07 / MAX: 39.66 MIN: 37.16 / MAX: 46.49 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
System GZIP Decompression OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 0.808 1.616 2.424 3.232 4.04 SE +/- 0.036, N = 15 SE +/- 0.037, N = 13 SE +/- 0.034, N = 13 3.577 3.591 3.583
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 1.1257 2.2514 3.3771 4.5028 5.6285 SE +/- 0.00250, N = 3 SE +/- 0.00940, N = 3 SE +/- 0.00100, N = 3 4.98990 5.00306 4.98427
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 Linux 5.8.12 Linux 5.9-rc7 0.6053 1.2106 1.8159 2.4212 3.0265 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 2.69 2.69 2.68 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 8K 16K 24K 32K 40K SE +/- 13.43, N = 3 SE +/- 20.34, N = 3 SE +/- 17.48, N = 3 38264 38284 38398 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 25.85 25.94 25.92 MIN: 25.7 / MAX: 36.52 MIN: 25.83 / MAX: 36.18 MIN: 25.84 / MAX: 28.39 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 5.4 Linux 5.8.12 Linux 5.9-rc7 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 46.19 46.33 46.27 MIN: 45.98 / MAX: 53.65 MIN: 46.18 / MAX: 57.14 MIN: 46.13 / MAX: 48.86 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 5.4 Linux 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 7.18 7.20 7.18 MIN: 7.12 / MAX: 7.41 MIN: 7.16 / MAX: 7.94 MIN: 7.14 / MAX: 7.96 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 5.4 Linux 5.8.12 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 11.37 11.40 11.39 MIN: 11.33 / MAX: 12.08 MIN: 11.35 / MAX: 11.62 MIN: 11.35 / MAX: 11.64 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 SE +/- 0.13, N = 3 130.87 130.64 130.97 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
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 Linux 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 7.98 7.99 7.97 MIN: 7.89 / MAX: 9.56 MIN: 7.9 / MAX: 9.5 MIN: 7.89 / MAX: 9.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 5.4 Linux 5.8.12 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 12.96 12.98 12.95 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.09, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 29.53 29.47 29.51
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 27.13 27.18 27.18 MIN: 27 / MAX: 27.87 MIN: 27.11 / MAX: 27.94 MIN: 27.11 / MAX: 27.89 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 5.4 Linux 5.8.12 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 27.20 27.25 27.25 MIN: 27.11 / MAX: 29.45 MIN: 27.14 / MAX: 29.06 MIN: 27.16 / MAX: 37.12 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 23.08 23.05 23.06 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 1.1153 2.2306 3.3459 4.4612 5.5765 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 4.952 4.957 4.951 MIN: 4.9 / MAX: 10.09 MIN: 4.89 / MAX: 15.09 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 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.008, N = 3 SE +/- 0.009, N = 3 6.351 6.344 6.348 MIN: 6.3 / MAX: 7.1 MIN: 6.29 / MAX: 17.22 MIN: 6.29 / MAX: 16.53 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: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 28.12 28.13 28.14 MIN: 27.99 / MAX: 38.94 MIN: 28 / MAX: 28.81 MIN: 28.02 / MAX: 38.82 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 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 50.42 50.44 50.40 MIN: 50.15 / MAX: 103.7 MIN: 50.22 / MAX: 69.18 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: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 53.29 53.31 53.32 MIN: 53.09 / MAX: 55.52 MIN: 53.17 / MAX: 54.97 MIN: 53.13 / MAX: 55.45 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 5.4 Linux 5.8.12 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 31.35 31.35 31.34 MIN: 31.17 / MAX: 42.2 MIN: 31.22 / MAX: 33.49 MIN: 31.17 / MAX: 41.98 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 5.4 Linux 5.8.12 Linux 5.9-rc7 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: 1.93 / MAX: 2.01 MIN: 1.94 / MAX: 1.98 MIN: 1.94 / MAX: 2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.017, N = 3 SE +/- 0.004, N = 3 SE +/- 0.010, N = 3 8.523 8.523 8.523 MIN: 8.47 / MAX: 30.24 MIN: 8.48 / MAX: 10.43 MIN: 8.47 / MAX: 18.94 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
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 5.4 Linux 5.8.12 Linux 5.9-rc7 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
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
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
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.4 Linux 5.8.12 Linux 5.9-rc7 200 400 600 800 1000 SE +/- 4.16, N = 3 SE +/- 25.74, N = 9 SE +/- 3.76, N = 3 810 759 789 1. (CXX) g++ options: -flto -pthread
Phoronix Test Suite v10.8.4