Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP on Ubuntu 20.04 via the Phoronix Test Suite.
1 Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcGraphics Notes: GLAMORPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
2 3 Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Xeon E3-1280 v5 Oct Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 1 2 3 Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads) MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) Intel Xeon E3-1200 v5/E3-1500 32GB 256GB TOSHIBA RD400 ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP Realtek ALC1150 VA2431 Intel I219-V Ubuntu 20.04 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.5 Mesa 20.0.8 (LLVM 10.0.0) GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc Graphics Details - GLAMOR 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 vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
1 2 3 Result Overview Phoronix Test Suite 100% 101% 102% 103% 104% PostgreSQL pgbench FFTE Apache CouchDB eSpeak-NG Speech Engine Mobile Neural Network KeyDB Mlpack Benchmark Kripke InfluxDB NCNN LeelaChessZero TNN Timed MAFFT Alignment BYTE Unix Benchmark Zstd Compression LAMMPS Molecular Dynamics Simulator DeepSpeech WebP Image Encode LibRaw RNNoise MPV Dolfyn TSCP Timed HMMer Search NAMD Hierarchical INTegration Caffe Incompact3D Monte Carlo Simulations of Ionised Nebulae Timed LLVM Compilation GPAW
Xeon E3-1280 v5 Oct mpv: Big Buck Bunny Sunflower 4K - Software Only mpv: Big Buck Bunny Sunflower 1080p - Software Only byte: Dhrystone 2 compress-zstd: 3 compress-zstd: 19 ffte: N=256, 3D Complex FFT Routine libraw: Post-Processing Benchmark lczero: BLAS lczero: Eigen lczero: Rand tscp: AI Chess Performance lammps: 20k Atoms lammps: Rhodopsin Protein keydb: hint: FLOAT glmark2: 1920 x 1080 kripke: pgbench: 1 - 1 - Read Only pgbench: 1 - 1 - Read Write pgbench: 1 - 50 - Read Only pgbench: 1 - 100 - Read Only pgbench: 1 - 250 - Read Only pgbench: 1 - 50 - Read Write pgbench: 100 - 1 - Read Only pgbench: 1 - 100 - Read Write pgbench: 1 - 250 - Read Write pgbench: 100 - 1 - Read Write pgbench: 100 - 50 - Read Only pgbench: 100 - 100 - Read Only pgbench: 100 - 250 - Read Only pgbench: 100 - 50 - Read Write pgbench: 100 - 100 - Read Write pgbench: 100 - 250 - Read Write influxdb: 4 - 10000 - 2,5000,1 - 10000 influxdb: 64 - 10000 - 2,5000,1 - 10000 influxdb: 1024 - 10000 - 2,5000,1 - 10000 namd: ATPase Simulation - 327,506 Atoms webp: Default webp: Quality 100 webp: Quality 100, Lossless webp: Quality 100, Highest Compression webp: Quality 100, Lossless, Highest Compression caffe: AlexNet - CPU - 100 caffe: AlexNet - CPU - 200 caffe: GoogleNet - CPU - 100 caffe: GoogleNet - CPU - 200 pgbench: 1 - 1 - Read Only - Average Latency pgbench: 1 - 1 - Read Write - Average Latency pgbench: 1 - 50 - Read Only - Average Latency pgbench: 1 - 100 - Read Only - Average Latency pgbench: 1 - 250 - Read Only - Average Latency pgbench: 1 - 50 - Read Write - Average Latency pgbench: 100 - 1 - Read Only - Average Latency pgbench: 1 - 100 - Read Write - Average Latency pgbench: 1 - 250 - Read Write - Average Latency pgbench: 100 - 1 - Read Write - Average Latency pgbench: 100 - 50 - Read Only - Average Latency pgbench: 100 - 100 - Read Only - Average Latency pgbench: 100 - 250 - Read Only - Average Latency pgbench: 100 - 50 - Read Write - Average Latency pgbench: 100 - 100 - Read Write - Average Latency pgbench: 100 - 250 - Read Write - Average Latency 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 tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 dolfyn: Computational Fluid Dynamics hmmer: Pfam Database Search incompact3d: Cylinder mafft: Multiple Sequence Alignment - LSU RNA mocassin: Dust 2D tau100.0 build-llvm: Time To Compile deepspeech: CPU espeak: Text-To-Speech Synthesis rnnoise: couchdb: 100 - 1000 - 24 gpaw: Carbon Nanotube mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression 1 2 3 377.56 1180.75 39309015.6 2254.4 19.1 20211.793367516 28.19 753 680 207336 1161980 2.877 2.796 385851.58 390197794.56686 2982 16736247 20536 209 114854 110927 92077 284 20240 278 265 196 97849 95282 81251 3636 4579 4824 889455.4 1016169.1 1027433.3 3.80757 1.706 2.677 18.803 7.972 46.860 65515 130722 161333 323152 0.049 4.796 0.436 0.902 2.718 175.934 0.049 359.561 942.915 5.109 0.511 1.050 3.079 13.762 21.988 51.841 10.042 56.106 5.590 8.022 61.631 24.92 28.87 7.83 6.50 4.56 6.56 10.46 2.09 23.14 103.72 23.52 22.64 47.02 40.09 357.318 342.386 20.948 122.444 734.539775 12.079 300 1490.858 77.70033 31.657 27.171 147.518 602.623 67.01 87.89 27.66 4.32 377.03 1177.43 39143549.8 2257.0 19.2 19804.661180935 28.13 766 685 207014 1163456 2.887 2.803 382973.15 390087861.34084 16595780 20618 201 114466 109654 90359 272 20229 256 245 191 97079 94493 82741 3459 4429 4592 876094.3 1013846.1 1028323.2 3.80980 1.706 2.674 18.876 7.985 46.987 65541 131091 161133 322330 0.048 4.987 0.437 0.912 2.769 183.646 0.049 390.030 1019.733 5.231 0.515 1.058 3.022 14.467 22.680 54.623 10.056 55.813 5.570 7.674 61.645 24.86 28.76 7.78 6.53 4.57 6.56 10.45 2.09 23.14 93.30 23.50 22.64 47.07 39.92 357.847 337.741 20.918 122.538 734.332519 12.148 300 1490.620 77.93761 31.490 27.179 149.152 604.068 65.29 86.60 27.70 4.33 375.64 1181.91 39339662.1 2252.7 19.1 19709.169140635 28.11 770 683 206946 1162474 2.876 2.799 382203.75 390272679.15167 16583477 20556 198 113306 107694 91934 262 20241 251 241 184 97011 94424 83711 3365 4240 4501 872007.4 1012647.3 1023332.0 3.80919 1.707 2.677 18.951 7.986 47.079 65520 130891 161112 323334 0.049 5.063 0.442 0.929 2.724 190.864 0.049 399.091 1037.522 5.424 0.515 1.060 2.990 14.866 23.753 55.777 10.099 55.950 5.576 7.683 61.629 24.89 28.76 7.78 6.52 4.58 6.57 10.46 2.10 23.18 93.29 23.50 22.64 47.05 39.92 357.364 337.820 20.911 122.520 737.047078 12.138 300 1490.683 77.70476 31.971 27.251 150.371 602.967 65.54 87.89 27.70 4.39 OpenBenchmarking.org
MPV MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only 1 2 3 80 160 240 320 400 SE +/- 0.43, N = 3 SE +/- 0.96, N = 3 SE +/- 0.41, N = 3 377.56 377.03 375.64 MIN: 230.76 / MAX: 545.43 MIN: 235.28 / MAX: 545.43 MIN: 230.76 / MAX: 545.43 1. mpv 0.32.0
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only 1 2 3 300 600 900 1200 1500 SE +/- 5.14, N = 3 SE +/- 2.75, N = 3 SE +/- 2.51, N = 3 1180.75 1177.43 1181.91 MIN: 666.63 / MAX: 1999.92 MIN: 666.63 / MAX: 1999.92 MIN: 705.84 / MAX: 1999.9 1. mpv 0.32.0
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine 1 2 3 4K 8K 12K 16K 20K SE +/- 68.64, N = 3 SE +/- 25.77, N = 3 SE +/- 37.30, N = 3 20211.79 19804.66 19709.17 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen 1 2 3 150 300 450 600 750 SE +/- 2.96, N = 3 SE +/- 6.56, N = 3 SE +/- 7.23, N = 3 680 685 683 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random 1 2 3 40K 80K 120K 160K 200K SE +/- 165.24, N = 3 SE +/- 216.46, N = 3 SE +/- 346.16, N = 3 207336 207014 206946 1. (CXX) g++ options: -flto -pthread
TSCP This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better TSCP 1.81 AI Chess Performance 1 2 3 200K 400K 600K 800K 1000K SE +/- 775.23, N = 5 SE +/- 1252.48, N = 5 SE +/- 1204.17, N = 5 1161980 1163456 1162474 1. (CC) gcc options: -O3 -march=native
KeyDB A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 1 2 3 80K 160K 240K 320K 400K SE +/- 668.35, N = 3 SE +/- 2020.02, N = 3 SE +/- 386.83, N = 3 385851.58 382973.15 382203.75 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 1 2 3 4M 8M 12M 16M 20M SE +/- 104643.97, N = 3 SE +/- 52933.71, N = 3 SE +/- 52236.76, N = 3 16736247 16595780 16583477 1. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write 1 2 3 50 100 150 200 250 SE +/- 0.84, N = 3 SE +/- 1.59, N = 3 SE +/- 1.56, N = 3 209 201 198 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only 1 2 3 20K 40K 60K 80K 100K SE +/- 1174.02, N = 3 SE +/- 1266.71, N = 3 SE +/- 158.67, N = 3 114854 114466 113306 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only 1 2 3 20K 40K 60K 80K 100K SE +/- 1362.67, N = 5 SE +/- 1227.66, N = 3 SE +/- 1157.60, N = 3 110927 109654 107694 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only 1 2 3 20K 40K 60K 80K 100K SE +/- 830.93, N = 11 SE +/- 1424.81, N = 3 SE +/- 917.40, N = 15 92077 90359 91934 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write 1 2 3 60 120 180 240 300 SE +/- 0.45, N = 3 SE +/- 0.46, N = 3 SE +/- 4.01, N = 3 284 272 262 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only 1 2 3 4K 8K 12K 16K 20K SE +/- 32.90, N = 3 SE +/- 20.00, N = 3 SE +/- 6.47, N = 3 20240 20229 20241 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write 1 2 3 60 120 180 240 300 SE +/- 1.21, N = 3 SE +/- 0.44, N = 3 SE +/- 2.05, N = 3 278 256 251 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write 1 2 3 60 120 180 240 300 SE +/- 0.70, N = 3 SE +/- 2.26, N = 3 SE +/- 3.57, N = 4 265 245 241 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write 1 2 3 40 80 120 160 200 SE +/- 1.55, N = 3 SE +/- 1.54, N = 3 SE +/- 3.02, N = 3 196 191 184 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only 1 2 3 20K 40K 60K 80K 100K SE +/- 96.80, N = 3 SE +/- 53.15, N = 3 SE +/- 11.66, N = 3 97849 97079 97011 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only 1 2 3 20K 40K 60K 80K 100K SE +/- 79.84, N = 3 SE +/- 150.99, N = 3 SE +/- 409.00, N = 3 95282 94493 94424 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only 1 2 3 20K 40K 60K 80K 100K SE +/- 1041.95, N = 3 SE +/- 223.08, N = 3 SE +/- 936.11, N = 7 81251 82741 83711 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write 1 2 3 800 1600 2400 3200 4000 SE +/- 52.45, N = 4 SE +/- 51.71, N = 4 SE +/- 38.07, N = 3 3636 3459 3365 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write 1 2 3 1000 2000 3000 4000 5000 SE +/- 93.25, N = 15 SE +/- 74.38, N = 15 SE +/- 93.27, N = 15 4579 4429 4240 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write 1 2 3 1000 2000 3000 4000 5000 SE +/- 14.83, N = 3 SE +/- 69.14, N = 14 SE +/- 72.37, N = 15 4824 4592 4501 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
InfluxDB This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 1 2 3 200K 400K 600K 800K 1000K SE +/- 3581.92, N = 3 SE +/- 3852.84, N = 3 SE +/- 3829.04, N = 3 889455.4 876094.3 872007.4
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 1 2 3 200K 400K 600K 800K 1000K SE +/- 4142.78, N = 3 SE +/- 3135.08, N = 3 SE +/- 4099.63, N = 3 1016169.1 1013846.1 1012647.3
OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 1 2 3 200K 400K 600K 800K 1000K SE +/- 2049.73, N = 3 SE +/- 1131.06, N = 3 SE +/- 1680.62, N = 3 1027433.3 1028323.2 1023332.0
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms 1 2 3 0.8572 1.7144 2.5716 3.4288 4.286 SE +/- 0.00692, N = 3 SE +/- 0.00405, N = 3 SE +/- 0.01581, N = 3 3.80757 3.80980 3.80919
WebP Image Encode This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default 1 2 3 0.3841 0.7682 1.1523 1.5364 1.9205 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 1.706 1.706 1.707 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 1 2 3 0.6023 1.2046 1.8069 2.4092 3.0115 SE +/- 0.004, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 2.677 2.674 2.677 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless 1 2 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 18.80 18.88 18.95 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression 1 2 3 2 4 6 8 10 SE +/- 0.006, N = 3 SE +/- 0.011, N = 3 SE +/- 0.007, N = 3 7.972 7.985 7.986 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression 1 2 3 11 22 33 44 55 SE +/- 0.09, N = 3 SE +/- 0.11, N = 3 SE +/- 0.10, N = 3 46.86 46.99 47.08 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Caffe This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 1 2 3 14K 28K 42K 56K 70K SE +/- 63.17, N = 3 SE +/- 27.22, N = 3 SE +/- 55.92, N = 3 65515 65541 65520 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 1 2 3 30K 60K 90K 120K 150K SE +/- 84.02, N = 3 SE +/- 170.17, N = 3 SE +/- 79.44, N = 3 130722 131091 130891 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 1 2 3 30K 60K 90K 120K 150K SE +/- 124.23, N = 3 SE +/- 51.19, N = 3 SE +/- 109.27, N = 3 161333 161133 161112 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 1 2 3 70K 140K 210K 280K 350K SE +/- 117.16, N = 3 SE +/- 99.10, N = 3 SE +/- 166.75, N = 3 323152 322330 323334 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
PostgreSQL pgbench This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency 1 2 3 0.011 0.022 0.033 0.044 0.055 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.049 0.048 0.049 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency 1 2 3 1.1392 2.2784 3.4176 4.5568 5.696 SE +/- 0.020, N = 3 SE +/- 0.039, N = 3 SE +/- 0.040, N = 3 4.796 4.987 5.063 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency 1 2 3 0.0995 0.199 0.2985 0.398 0.4975 SE +/- 0.004, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 0.436 0.437 0.442 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency 1 2 3 0.209 0.418 0.627 0.836 1.045 SE +/- 0.011, N = 5 SE +/- 0.010, N = 3 SE +/- 0.010, N = 3 0.902 0.912 0.929 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency 1 2 3 0.623 1.246 1.869 2.492 3.115 SE +/- 0.024, N = 11 SE +/- 0.043, N = 3 SE +/- 0.027, N = 15 2.718 2.769 2.724 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency 1 2 3 40 80 120 160 200 SE +/- 0.28, N = 3 SE +/- 0.31, N = 3 SE +/- 2.94, N = 3 175.93 183.65 190.86 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency 1 2 3 0.011 0.022 0.033 0.044 0.055 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.049 0.049 0.049 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency 1 2 3 90 180 270 360 450 SE +/- 1.58, N = 3 SE +/- 0.67, N = 3 SE +/- 3.22, N = 3 359.56 390.03 399.09 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency 1 2 3 200 400 600 800 1000 SE +/- 2.51, N = 3 SE +/- 9.31, N = 3 SE +/- 15.27, N = 4 942.92 1019.73 1037.52 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency 1 2 3 1.2204 2.4408 3.6612 4.8816 6.102 SE +/- 0.041, N = 3 SE +/- 0.042, N = 3 SE +/- 0.088, N = 3 5.109 5.231 5.424 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency 1 2 3 0.1159 0.2318 0.3477 0.4636 0.5795 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.511 0.515 0.515 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency 1 2 3 0.2385 0.477 0.7155 0.954 1.1925 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 1.050 1.058 1.060 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency 1 2 3 0.6928 1.3856 2.0784 2.7712 3.464 SE +/- 0.040, N = 3 SE +/- 0.008, N = 3 SE +/- 0.034, N = 7 3.079 3.022 2.990 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency 1 2 3 4 8 12 16 20 SE +/- 0.20, N = 4 SE +/- 0.21, N = 4 SE +/- 0.17, N = 3 13.76 14.47 14.87 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency 1 2 3 6 12 18 24 30 SE +/- 0.49, N = 15 SE +/- 0.41, N = 15 SE +/- 0.52, N = 15 21.99 22.68 23.75 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 13.0 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency 1 2 3 13 26 39 52 65 SE +/- 0.16, N = 3 SE +/- 0.85, N = 14 SE +/- 0.95, N = 15 51.84 54.62 55.78 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 1 2 3 3 6 9 12 15 SE +/- 0.09, N = 11 SE +/- 0.15, N = 4 SE +/- 0.12, N = 5 10.04 10.06 10.10 MIN: 9.52 / MAX: 33.64 MIN: 9.56 / MAX: 33.37 MIN: 9.56 / MAX: 33.15 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 1 2 3 13 26 39 52 65 SE +/- 0.32, N = 11 SE +/- 0.38, N = 4 SE +/- 0.36, N = 5 56.11 55.81 55.95 MIN: 54.43 / MAX: 198.77 MIN: 54.55 / MAX: 78.78 MIN: 53.86 / MAX: 81.65 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 1 2 3 1.2578 2.5156 3.7734 5.0312 6.289 SE +/- 0.011, N = 11 SE +/- 0.007, N = 4 SE +/- 0.008, N = 5 5.590 5.570 5.576 MIN: 5.47 / MAX: 28.96 MIN: 5.5 / MAX: 10.38 MIN: 5.5 / MAX: 8.52 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 1 2 3 2 4 6 8 10 SE +/- 0.334, N = 11 SE +/- 0.009, N = 4 SE +/- 0.005, N = 5 8.022 7.674 7.683 MIN: 7.51 / MAX: 64.47 MIN: 7.6 / MAX: 31 MIN: 7.64 / MAX: 12.03 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 1 2 3 14 28 42 56 70 SE +/- 0.22, N = 11 SE +/- 0.36, N = 4 SE +/- 0.27, N = 5 61.63 61.65 61.63 MIN: 60.24 / MAX: 85.44 MIN: 60.21 / MAX: 138.47 MIN: 60.1 / MAX: 85.52 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 NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 1 2 3 6 12 18 24 30 SE +/- 0.08, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 24.92 24.86 24.89 MIN: 24.77 / MAX: 26.68 MIN: 24.78 / MAX: 25.75 MIN: 24.77 / MAX: 37.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet 1 2 3 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 28.87 28.76 28.76 MIN: 28.75 / MAX: 29.64 MIN: 28.7 / MAX: 29.48 MIN: 28.67 / MAX: 30.45 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 1 2 3 2 4 6 8 10 SE +/- 0.06, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 7.83 7.78 7.78 MIN: 7.7 / MAX: 27.26 MIN: 7.72 / MAX: 9.38 MIN: 7.71 / MAX: 9.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 1 2 3 2 4 6 8 10 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 6.50 6.53 6.52 MIN: 6.44 / MAX: 8.75 MIN: 6.44 / MAX: 18.87 MIN: 6.44 / MAX: 8.06 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 1 2 3 1.0305 2.061 3.0915 4.122 5.1525 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 4.56 4.57 4.58 MIN: 4.51 / MAX: 7.21 MIN: 4.53 / MAX: 6.2 MIN: 4.52 / MAX: 6.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 1 2 3 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 6.56 6.56 6.57 MIN: 6.51 / MAX: 8.26 MIN: 6.51 / MAX: 9.26 MIN: 6.53 / MAX: 8.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 1 2 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 10.46 10.45 10.46 MIN: 10.42 / MAX: 10.78 MIN: 10.41 / MAX: 13.2 MIN: 10.42 / MAX: 11.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface 1 2 3 0.4725 0.945 1.4175 1.89 2.3625 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.09 2.09 2.10 MIN: 2.07 / MAX: 2.19 MIN: 2.07 / MAX: 2.91 MIN: 2.08 / MAX: 2.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet 1 2 3 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 23.14 23.14 23.18 MIN: 23.04 / MAX: 34.42 MIN: 23.03 / MAX: 36.37 MIN: 23.07 / MAX: 33.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 1 2 3 20 40 60 80 100 SE +/- 10.25, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 103.72 93.30 93.29 MIN: 93.04 / MAX: 2721.22 MIN: 93.07 / MAX: 106.12 MIN: 93.1 / MAX: 105.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 1 2 3 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 23.52 23.50 23.50 MIN: 23.4 / MAX: 25.9 MIN: 23.38 / MAX: 24.04 MIN: 23.39 / MAX: 25.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 1 2 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 22.64 22.64 22.64 MIN: 22.54 / MAX: 24.97 MIN: 22.56 / MAX: 24.94 MIN: 22.56 / MAX: 25.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 1 2 3 11 22 33 44 55 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 47.02 47.07 47.05 MIN: 46.88 / MAX: 49.96 MIN: 46.89 / MAX: 57.05 MIN: 46.9 / MAX: 49.62 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 1 2 3 9 18 27 36 45 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 40.09 39.92 39.92 MIN: 39.88 / MAX: 53.45 MIN: 39.8 / MAX: 41.77 MIN: 39.78 / MAX: 42.74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
TNN TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 1 2 3 80 160 240 320 400 SE +/- 0.43, N = 3 SE +/- 0.33, N = 3 SE +/- 0.32, N = 3 357.32 357.85 357.36 MIN: 355.94 / MAX: 359.3 MIN: 356.17 / MAX: 360.63 MIN: 356.03 / MAX: 359.25 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 1 2 3 70 140 210 280 350 SE +/- 5.07, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 342.39 337.74 337.82 MIN: 335.31 / MAX: 400.55 MIN: 336.52 / MAX: 340.1 MIN: 337.14 / MAX: 341.29 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics 1 2 3 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 20.95 20.92 20.91
Incompact3D Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder 1 2 3 160 320 480 640 800 SE +/- 0.92, N = 3 SE +/- 0.52, N = 3 SE +/- 0.78, N = 3 734.54 734.33 737.05 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 1 2 3 70 140 210 280 350 SE +/- 0.58, N = 3 SE +/- 0.33, N = 3 300 300 300 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU 1 2 3 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.15, N = 3 SE +/- 0.05, N = 3 77.70 77.94 77.70
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 1 2 3 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 27.17 27.18 27.25 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Apache CouchDB This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 1 2 3 30 60 90 120 150 SE +/- 1.53, N = 3 SE +/- 1.00, N = 3 SE +/- 0.69, N = 3 147.52 149.15 150.37 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube 1 2 3 130 260 390 520 650 SE +/- 0.46, N = 3 SE +/- 0.26, N = 3 SE +/- 0.51, N = 3 602.62 604.07 602.97 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression 1 2 3 0.9878 1.9756 2.9634 3.9512 4.939 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 12 4.32 4.33 4.39
1 Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcGraphics Notes: GLAMORPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Testing initiated at 30 September 2020 20:51 by user phoronix.
2 Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcGraphics Notes: GLAMORPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Testing initiated at 1 October 2020 07:30 by user phoronix.
3 Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: VA2431, Network: Intel I219-V
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcGraphics Notes: GLAMORPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Testing initiated at 1 October 2020 18:06 by user phoronix.