9400f-sep Intel Core i5-9400F testing with a MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS) and MSI NVIDIA NV106 1GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009281-FI-9400FSEP853&grr .
9400f-sep Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Linux 5.9-rc2 Run 2 Linux 5.9-rc7 Intel Core i5-9400F @ 4.10GHz (6 Cores) MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS) Intel Cannon Lake PCH 16GB 256GB SAMSUNG MZVPW256HEGL-000H7 MSI NVIDIA NV106 1GB Realtek ALC887-VD G237HL Intel I219-V Ubuntu 20.04 5.9.0-050900rc2-generic (x86_64) 20200823 GNOME Shell 3.36.0 X Server 1.20.7 modesetting 1.20.7 4.3 Mesa 20.0.2 GCC 9.3.0 ext4 1920x1080 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927 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: 0xca Python Details - Python 3.8.2 Security Details - 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: Vulnerable: No microcode + tsx_async_abort: Not affected
9400f-sep kripke: gpaw: Carbon Nanotube incompact3d: Cylinder mlpack: scikit_qda lczero: Eigen lczero: BLAS lczero: Rand gromacs: Water Benchmark hint: FLOAT mocassin: Dust 2D tau100.0 caffe: GoogleNet - CPU - 200 caffe: AlexNet - CPU - 200 namd: ATPase Simulation - 327,506 Atoms couchdb: 100 - 1000 - 24 byte: Dhrystone 2 hmmer: Pfam Database Search mlpack: scikit_linearridgeregression influxdb: 4 - 10000 - 2,5000,1 - 10000 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 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 mlpack: scikit_ica caffe: GoogleNet - CPU - 100 influxdb: 64 - 10000 - 2,5000,1 - 10000 libraw: Post-Processing Benchmark webp: Quality 100, Lossless, Highest Compression aom-av1: Speed 0 Two-Pass espeak: Text-To-Speech Synthesis aom-av1: Speed 6 Realtime caffe: AlexNet - CPU - 100 aom-av1: Speed 6 Two-Pass mlpack: scikit_svm tnn: CPU - SqueezeNet v1.1 tnn: CPU - MobileNet v2 aom-av1: Speed 4 Two-Pass dolfyn: Computational Fluid Dynamics webp: Quality 100, Lossless opencv: DNN - Deep Neural Network aom-av1: Speed 8 Realtime mafft: Multiple Sequence Alignment - LSU RNA webp: Quality 100, Highest Compression lammps: Rhodopsin Protein webp: Quality 100 ffte: N=256, 3D Complex FFT Routine webp: Default Linux 5.9-rc2 Run 2 Linux 5.9-rc7 11243443 514.767 490.352560 83.48 953 1004 253411 0.649 407938209.34764 240 159857 65074 2.86251 122.125 40265449.6 117.809 3.13 1095047.3 37.147 4.014 3.627 26.706 5.848 36.98 40.02 22.00 21.69 89.26 21.28 1.44 8.23 4.99 3.83 5.31 6.30 22.59 19.96 49.62 80042 1460364.5 26.99 44.021 0.25 30.289 17.61 32083 3.42 26.39 330.222 326.243 2.15 20.230 18.836 2975 39.53 11.513 7.766 4.329 2.605 23721.231042479 1.658 11098707 509.358 484.569031 79.42 938 1006 0.652 406942592.14918 241 159899 63773 2.86905 123.022 39996685.5 117.675 3.43 37.051 4.001 3.642 26.729 5.838 36.99 39.91 21.98 21.71 88.60 21.31 1.45 8.24 4.99 3.79 5.31 6.28 22.61 19.90 48.45 79953 27.20 43.703 0.26 30.115 17.68 31950 3.43 26.34 330.058 325.094 2.17 20.186 18.684 3071 39.60 11.249 7.759 4.341 2.600 23639.485828289 1.659 11507903 512.031 484.952169 80.95 949 989 254263 0.651 407244100.97305 241 159607 63836 2.87464 120.681 40160217.6 117.813 3.44 1098588.9 37.080 3.992 3.639 26.641 5.828 36.98 39.94 21.97 21.66 88.54 21.28 1.43 8.24 5.00 3.80 5.34 6.34 22.54 19.86 51.01 79862 1464209.7 27.24 43.611 0.25 30.202 17.72 31998 3.43 26.35 329.988 324.790 2.17 20.268 18.595 3188 39.66 11.251 7.777 4.356 2.605 23615.219818037 1.659 OpenBenchmarking.org
Kripke OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 2M 4M 6M 8M 10M SE +/- 139687.61, N = 3 SE +/- 113034.19, N = 3 SE +/- 167415.40, N = 9 11243443 11098707 11507903 1. (CXX) g++ options: -O3 -fopenmp
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube Linux 5.9-rc2 Run 2 Linux 5.9-rc7 110 220 330 440 550 SE +/- 0.44, N = 3 SE +/- 1.57, N = 3 SE +/- 1.80, N = 3 514.77 509.36 512.03 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Linux 5.9-rc2 Run 2 Linux 5.9-rc7 110 220 330 440 550 SE +/- 5.96, N = 3 SE +/- 0.45, N = 3 SE +/- 0.19, N = 3 490.35 484.57 484.95 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Linux 5.9-rc2 Run 2 Linux 5.9-rc7 20 40 60 80 100 SE +/- 3.59, N = 9 SE +/- 1.24, N = 3 SE +/- 2.47, N = 12 83.48 79.42 80.95
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.9-rc2 Run 2 Linux 5.9-rc7 200 400 600 800 1000 SE +/- 2.91, N = 3 SE +/- 4.91, N = 3 SE +/- 2.08, N = 3 953 938 949 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.9-rc2 Run 2 Linux 5.9-rc7 200 400 600 800 1000 SE +/- 0.58, N = 3 SE +/- 1.67, N = 3 SE +/- 6.44, N = 3 1004 1006 989 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Random OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random Linux 5.9-rc2 Linux 5.9-rc7 50K 100K 150K 200K 250K SE +/- 849.90, N = 3 SE +/- 182.72, N = 3 253411 254263 1. (CXX) g++ options: -flto -pthread
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.1467 0.2934 0.4401 0.5868 0.7335 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 0.649 0.652 0.651 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT Linux 5.9-rc2 Run 2 Linux 5.9-rc7 90M 180M 270M 360M 450M SE +/- 568366.74, N = 3 SE +/- 488732.80, N = 3 SE +/- 402208.96, N = 3 407938209.35 406942592.15 407244100.97 1. (CC) gcc options: -O3 -march=native -lm
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-rc2 Run 2 Linux 5.9-rc7 50 100 150 200 250 240 241 241 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 30K 60K 90K 120K 150K SE +/- 44.77, N = 3 SE +/- 123.90, N = 3 SE +/- 80.95, N = 3 159857 159899 159607 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 14K 28K 42K 56K 70K SE +/- 601.48, N = 15 SE +/- 48.38, N = 3 SE +/- 82.25, N = 3 65074 63773 63836 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.6468 1.2936 1.9404 2.5872 3.234 SE +/- 0.00067, N = 3 SE +/- 0.00965, N = 3 SE +/- 0.00569, N = 3 2.86251 2.86905 2.87464
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 5.9-rc2 Run 2 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.84, N = 3 SE +/- 0.65, N = 3 SE +/- 0.36, N = 3 122.13 123.02 120.68 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
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-rc2 Run 2 Linux 5.9-rc7 9M 18M 27M 36M 45M SE +/- 62534.72, N = 3 SE +/- 183683.54, N = 3 SE +/- 164482.54, N = 3 40265449.6 39996685.5 40160217.6
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Linux 5.9-rc2 Run 2 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.13, N = 3 117.81 117.68 117.81 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.774 1.548 2.322 3.096 3.87 SE +/- 0.05, N = 3 SE +/- 0.04, N = 7 SE +/- 0.06, N = 3 3.13 3.43 3.44
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-rc2 Linux 5.9-rc7 200K 400K 600K 800K 1000K SE +/- 2125.05, N = 3 SE +/- 1070.82, N = 3 1095047.3 1098588.9
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.12, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 37.15 37.05 37.08 MIN: 36.83 / MAX: 46.99 MIN: 36.88 / MAX: 46.75 MIN: 36.95 / MAX: 46.44 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 5.9-rc2 Run 2 Linux 5.9-rc7 0.9032 1.8064 2.7096 3.6128 4.516 SE +/- 0.003, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 4.014 4.001 3.992 MIN: 3.96 / MAX: 5.33 MIN: 3.95 / MAX: 5.17 MIN: 3.94 / MAX: 5.49 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
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.8195 1.639 2.4585 3.278 4.0975 SE +/- 0.026, N = 3 SE +/- 0.028, N = 3 SE +/- 0.029, N = 3 3.627 3.642 3.639 MIN: 3.5 / MAX: 14.42 MIN: 3.51 / MAX: 15.02 MIN: 3.51 / MAX: 14.3 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 5.9-rc2 Run 2 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 26.71 26.73 26.64 MIN: 26.53 / MAX: 36.39 MIN: 26.56 / MAX: 35.29 MIN: 26.46 / MAX: 36 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 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 1.3158 2.6316 3.9474 5.2632 6.579 SE +/- 0.021, N = 3 SE +/- 0.034, N = 3 SE +/- 0.031, N = 3 5.848 5.838 5.828 MIN: 5.73 / MAX: 16.53 MIN: 5.72 / MAX: 17.66 MIN: 5.73 / MAX: 17.38 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: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Linux 5.9-rc2 Run 2 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 36.98 36.99 36.98 MIN: 36.82 / MAX: 38.24 MIN: 36.88 / MAX: 39.1 MIN: 36.87 / MAX: 38.2 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-rc2 Run 2 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 40.02 39.91 39.94 MIN: 39.79 / MAX: 41.21 MIN: 39.69 / MAX: 47.23 MIN: 39.73 / MAX: 48.87 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 5.9-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 22.00 21.98 21.97 MIN: 21.91 / MAX: 31.96 MIN: 21.9 / MAX: 23.16 MIN: 21.85 / MAX: 23.45 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-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 21.69 21.71 21.66 MIN: 21.57 / MAX: 22.93 MIN: 21.6 / MAX: 22.03 MIN: 21.58 / MAX: 22.79 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 5.9-rc2 Run 2 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 89.26 88.60 88.54 MIN: 89 / MAX: 97.78 MIN: 88.31 / MAX: 98 MIN: 88.32 / MAX: 96.97 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-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 21.28 21.31 21.28 MIN: 21.13 / MAX: 22.62 MIN: 21.17 / MAX: 23.62 MIN: 21.03 / MAX: 29.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.3263 0.6526 0.9789 1.3052 1.6315 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.44 1.45 1.43 MIN: 1.4 / MAX: 2.57 MIN: 1.41 / MAX: 1.53 MIN: 1.4 / MAX: 2.11 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 5.9-rc2 Run 2 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 8.23 8.24 8.24 MIN: 8.19 / MAX: 8.89 MIN: 8.2 / MAX: 8.32 MIN: 8.19 / MAX: 15.38 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 5.9-rc2 Run 2 Linux 5.9-rc7 1.125 2.25 3.375 4.5 5.625 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 4.99 4.99 5.00 MIN: 4.88 / MAX: 16.5 MIN: 4.85 / MAX: 15.87 MIN: 4.87 / MAX: 16.43 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-rc2 Run 2 Linux 5.9-rc7 0.8618 1.7236 2.5854 3.4472 4.309 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 3.83 3.79 3.80 MIN: 3.73 / MAX: 11.24 MIN: 3.73 / MAX: 8.72 MIN: 3.71 / MAX: 11.95 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 5.9-rc2 Run 2 Linux 5.9-rc7 1.2015 2.403 3.6045 4.806 6.0075 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 5.31 5.31 5.34 MIN: 5.19 / MAX: 16.2 MIN: 5.21 / MAX: 15.2 MIN: 5.19 / MAX: 16.13 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 5.9-rc2 Run 2 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 6.30 6.28 6.34 MIN: 6.13 / MAX: 17.25 MIN: 6.13 / MAX: 15.53 MIN: 6.15 / MAX: 17.33 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 5.9-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 22.59 22.61 22.54 MIN: 22.45 / MAX: 24.84 MIN: 22.47 / MAX: 24.91 MIN: 22.4 / MAX: 23.32 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 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 19.96 19.90 19.86 MIN: 19.83 / MAX: 29.34 MIN: 19.81 / MAX: 25.82 MIN: 19.8 / MAX: 21.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica Linux 5.9-rc2 Run 2 Linux 5.9-rc7 12 24 36 48 60 SE +/- 0.50, N = 8 SE +/- 0.51, N = 3 SE +/- 0.53, N = 3 49.62 48.45 51.01
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 5.9-rc2 Run 2 Linux 5.9-rc7 20K 40K 60K 80K 100K SE +/- 248.10, N = 3 SE +/- 100.13, N = 3 SE +/- 28.18, N = 3 80042 79953 79862 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 5.9-rc2 Linux 5.9-rc7 300K 600K 900K 1200K 1500K SE +/- 3124.16, N = 3 SE +/- 3346.81, N = 3 1460364.5 1464209.7
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Linux 5.9-rc2 Run 2 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 26.99 27.20 27.24 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 5.9-rc2 Run 2 Linux 5.9-rc7 10 20 30 40 50 SE +/- 0.09, N = 3 SE +/- 0.15, N = 3 SE +/- 0.04, N = 3 44.02 43.70 43.61 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
AOM AV1 Encoder Mode: Speed 0 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.0585 0.117 0.1755 0.234 0.2925 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.25 0.26 0.25 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.9-rc2 Run 2 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.28, N = 4 SE +/- 0.06, N = 4 SE +/- 0.09, N = 4 30.29 30.12 30.20 1. (CC) gcc options: -O2 -std=c99
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-rc2 Run 2 Linux 5.9-rc7 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 17.61 17.68 17.72 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 5.9-rc2 Run 2 Linux 5.9-rc7 7K 14K 21K 28K 35K SE +/- 71.84, N = 3 SE +/- 36.07, N = 3 SE +/- 61.16, N = 3 32083 31950 31998 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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-rc2 Run 2 Linux 5.9-rc7 0.7718 1.5436 2.3154 3.0872 3.859 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.42 3.43 3.43 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.9-rc2 Run 2 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 26.39 26.34 26.35
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 70 140 210 280 350 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.24, N = 3 330.22 330.06 329.99 MIN: 329.35 / MAX: 331.15 MIN: 329.13 / MAX: 331.7 MIN: 328.95 / MAX: 331.25 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 70 140 210 280 350 SE +/- 0.72, N = 3 SE +/- 0.18, N = 3 SE +/- 0.14, N = 3 326.24 325.09 324.79 MIN: 324.62 / MAX: 342.63 MIN: 323.61 / MAX: 353.52 MIN: 323.57 / MAX: 326 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
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 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.4883 0.9766 1.4649 1.9532 2.4415 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.15 2.17 2.17 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 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 20.23 20.19 20.27
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 5.9-rc2 Run 2 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 18.84 18.68 18.60 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenCV Test: DNN - Deep Neural Network OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network Linux 5.9-rc2 Run 2 Linux 5.9-rc7 700 1400 2100 2800 3500 SE +/- 39.34, N = 15 SE +/- 97.65, N = 15 SE +/- 178.95, N = 15 2975 3071 3188 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
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 5.9-rc2 Run 2 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 39.53 39.60 39.66 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 5.9-rc2 Run 2 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.10, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 11.51 11.25 11.25 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 Linux 5.9-rc2 Run 2 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.005, N = 3 SE +/- 0.002, N = 3 SE +/- 0.007, N = 3 7.766 7.759 7.777 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 5.9-rc2 Run 2 Linux 5.9-rc7 0.9801 1.9602 2.9403 3.9204 4.9005 SE +/- 0.019, N = 3 SE +/- 0.028, N = 3 SE +/- 0.021, N = 3 4.329 4.341 4.356 1. (CXX) g++ options: -O3 -pthread -lm
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-rc2 Run 2 Linux 5.9-rc7 0.5861 1.1722 1.7583 2.3444 2.9305 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 2.605 2.600 2.605 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Linux 5.9-rc2 Run 2 Linux 5.9-rc7 5K 10K 15K 20K 25K SE +/- 69.82, N = 3 SE +/- 114.50, N = 3 SE +/- 151.87, N = 3 23721.23 23639.49 23615.22 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
WebP Image Encode Encode Settings: Default OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Linux 5.9-rc2 Run 2 Linux 5.9-rc7 0.3733 0.7466 1.1199 1.4932 1.8665 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 1.658 1.659 1.659 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Phoronix Test Suite v10.8.4