Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
Linux 5.9-rc1 Processor: Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads), Motherboard: Gigabyte B460M DS3H (F2 BIOS), Chipset: Intel Device 9b63, Memory: 16GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: Gigabyte Intel UHD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, 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: 0xccPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201002-generic (x86_64) 20201001, Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, 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: 0xccPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected
Core i3 10100 Okt OpenBenchmarking.org Phoronix Test Suite Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads) Gigabyte B460M DS3H (F2 BIOS) Intel Device 9b63 16GB 500GB Western Digital WDS500G3X0C-00SJG0 Gigabyte Intel UHD 630 3GB (1100MHz) Realtek ALC887-VD G237HL Realtek RTL8111/8168/8411 Ubuntu 20.04 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818 5.9.0-050900rc7daily20201002-generic (x86_64) 20201001 GNOME Shell 3.36.3 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.8 1.2.131 GCC 9.3.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernels Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Core I3 10100 Okt Benchmarks System Logs - --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcc - Python 3.8.2 - Linux 5.9-rc1: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.9-rc7: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.9-rc7 + mitigations=off: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected
Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off Result Overview Phoronix Test Suite 100% 103% 105% 108% 111% Kripke KeyDB GLmark2 eSpeak-NG Speech Engine VkFFT PostgreSQL pgbench Timed MAFFT Alignment LeelaChessZero LibRaw FFTE AOM AV1 Apache CouchDB LAMMPS Molecular Dynamics Simulator GROMACS TNN Mobile Neural Network Dolfyn WebP Image Encode BYTE Unix Benchmark Mlpack Benchmark RNNoise System GZIP Decompression Monte Carlo Simulations of Ionised Nebulae NAMD MPV InfluxDB NCNN Zstd Compression Hierarchical INTegration Timed HMMer Search Caffe GPAW RealSR-NCNN Timed LLVM Compilation
Core i3 10100 Okt aom-av1: Speed 0 Two-Pass aom-av1: Speed 4 Two-Pass aom-av1: Speed 6 Realtime aom-av1: Speed 6 Two-Pass aom-av1: Speed 8 Realtime couchdb: 100 - 1000 - 24 byte: Dhrystone 2 caffe: AlexNet - CPU - 100 caffe: AlexNet - CPU - 200 caffe: GoogleNet - CPU - 100 caffe: GoogleNet - CPU - 200 dolfyn: Computational Fluid Dynamics espeak: Text-To-Speech Synthesis ffte: N=256, 3D Complex FFT Routine glmark2: 1920 x 1080 gpaw: Carbon Nanotube gromacs: Water Benchmark hint: FLOAT influxdb: 4 - 10000 - 2,5000,1 - 10000 influxdb: 64 - 10000 - 2,5000,1 - 10000 influxdb: 1024 - 10000 - 2,5000,1 - 10000 keydb: kripke: lammps: Rhodopsin Protein lczero: BLAS lczero: Eigen libraw: Post-Processing Benchmark mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 mocassin: Dust 2D tau100.0 mpv: Big Buck Bunny Sunflower 4K - Software Only mpv: Big Buck Bunny Sunflower 1080p - Software Only namd: ATPase Simulation - 327,506 Atoms ncnn: CPU - squeezenet ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny pgbench: 1 - 1 - Read Only pgbench: 1 - 1 - Read Only - Average Latency pgbench: 1 - 1 - Read Write pgbench: 1 - 1 - Read Write - Average Latency pgbench: 1 - 50 - Read Only pgbench: 1 - 50 - Read Only - Average Latency pgbench: 1 - 100 - Read Only pgbench: 1 - 100 - Read Only - Average Latency pgbench: 1 - 50 - Read Write pgbench: 1 - 50 - Read Write - Average Latency pgbench: 100 - 1 - Read Only pgbench: 100 - 1 - Read Only - Average Latency pgbench: 1 - 100 - Read Write pgbench: 1 - 100 - Read Write - Average Latency pgbench: 100 - 1 - Read Write pgbench: 100 - 1 - Read Write - Average Latency pgbench: 100 - 50 - Read Only pgbench: 100 - 50 - Read Only - Average Latency pgbench: 100 - 100 - Read Only pgbench: 100 - 100 - Read Only - Average Latency pgbench: 100 - 50 - Read Write pgbench: 100 - 50 - Read Write - Average Latency pgbench: 100 - 100 - Read Write pgbench: 100 - 100 - Read Write - Average Latency realsr-ncnn: 4x - No rnnoise: system-decompress-gzip: hmmer: Pfam Database Search build-llvm: Time To Compile mafft: Multiple Sequence Alignment - LSU RNA tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 vkfft: webp: Default webp: Quality 100 webp: Quality 100, Lossless webp: Quality 100, Highest Compression webp: Quality 100, Lossless, Highest Compression compress-zstd: 3 compress-zstd: 19 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.24 2.06 16.82 3.30 40.03 147.194 42635852.8 59712 119373 144673 289313 19.255 29.948 16781.813676848 452 993.463 0.522 421628623.97970 1134964.5 1155511.6 1166424.5 517377.47 11231933 3.153 229 519 31.96 80.70 121.44 25.52 10.70 7.989 43.345 4.914 6.324 49.011 271 82.51 214.31 3.43492 25.70 30.35 8.03 6.86 4.18 6.35 10.66 1.67 22.04 111.73 21.76 24.31 45.93 42.05 43.82 38.26 12.43 13.74 8.71 12.62 25.68 2.82 34.96 200.89 30.26 44.47 74.20 79.96 28293 0.035 2027 0.493 130872 0.382 119863 0.835 2448 20.427 24698 0.041 2177 45.955 1857 0.538 111733 0.448 107131 0.934 14208 3.520 13482 7.420 258.688 25.140 2.941 110.409 1378.968 11.613 331.024 313.083 1113 1.546 2.386 17.745 7.177 43.614 1631.1 15.1 0.24 2.06 16.83 3.28 39.77 145.545 42736377.3 60393 120776 145093 290372 19.380 31.275 16977.210367245 474 992.728 0.518 422078542.70616 1131288.1 1154840.1 1169460.9 510641.79 10449837 3.192 229 530 31.82 80.11 121.73 25.53 10.67 7.885 43.008 4.895 6.319 48.701 271 82.38 215.24 3.42653 25.69 30.39 8.06 6.86 4.20 6.35 10.66 1.67 22.03 111.43 21.75 24.30 45.89 42.07 43.84 38.20 12.44 13.74 8.64 12.62 25.67 2.72 34.94 200.92 30.27 43.40 74.18 80.05 28241 0.035 1991 0.502 129303 0.387 122211 0.820 2399 20.844 24842 0.040 2165 46.212 1704 0.587 112480 0.445 106731 0.937 13047 3.833 12128 8.248 258.094 25.172 2.947 110.438 1372.337 11.387 329.097 312.998 1109 1.547 2.377 17.421 7.202 43.357 1631.6 15.1 0.24 2.04 16.64 3.25 38.81 145.441 42562814.7 60061 120100 145001 290054 19.259 30.254 17027.513818045 473 992.942 0.519 422214625.00529 1128771.5 1152691.2 1167644.9 535529.45 10123507 3.172 228 513 31.47 80.22 120.36 25.42 10.73 7.934 43.089 4.916 6.331 48.830 270 82.51 215.32 3.42570 25.73 30.36 8.05 6.86 4.17 6.35 10.64 1.67 22.02 111.70 21.77 24.28 45.93 42.07 43.79 38.34 12.42 13.74 8.83 12.62 25.68 2.67 34.94 199.92 30.26 43.91 74.16 80.00 29132 0.034 2017 0.496 133033 0.376 124644 0.804 2410 20.750 25471 0.039 2145 46.671 1716 0.583 113279 0.441 106651 0.938 13047 3.833 12164 8.225 258.510 25.226 2.949 110.437 1373.732 11.380 331.544 312.977 1082 1.547 2.382 17.480 7.169 43.295 1626.4 15.2 OpenBenchmarking.org
AOM AV1 This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.054 0.108 0.162 0.216 0.27 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.24 0.24 0.24 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.4635 0.927 1.3905 1.854 2.3175 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 2.06 2.06 2.04 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.09, N = 3 SE +/- 0.06, N = 3 16.82 16.83 16.64 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.7425 1.485 2.2275 2.97 3.7125 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.30 3.28 3.25 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 40.03 39.77 38.81 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30 60 90 120 150 SE +/- 0.84, N = 3 SE +/- 0.71, N = 3 SE +/- 0.46, N = 3 147.19 145.55 145.44 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 13K 26K 39K 52K 65K SE +/- 16.42, N = 3 SE +/- 16.65, N = 3 SE +/- 22.93, N = 3 59712 60393 60061 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30K 60K 90K 120K 150K SE +/- 59.58, N = 3 SE +/- 22.88, N = 3 SE +/- 54.03, N = 3 119373 120776 120100 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30K 60K 90K 120K 150K SE +/- 22.11, N = 3 SE +/- 44.11, N = 3 SE +/- 20.43, N = 3 144673 145093 145001 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 60K 120K 180K 240K 300K SE +/- 76.51, N = 3 SE +/- 436.14, N = 3 SE +/- 18.52, N = 3 289313 290372 290054 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 19.26 19.38 19.26
eSpeak-NG Speech Engine This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 7 14 21 28 35 SE +/- 0.12, N = 4 SE +/- 0.04, N = 4 SE +/- 0.09, N = 4 29.95 31.28 30.25 1. (CC) gcc options: -O2 -std=c99
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 4K 8K 12K 16K 20K SE +/- 85.45, N = 3 SE +/- 38.47, N = 3 SE +/- 47.52, N = 3 16781.81 16977.21 17027.51 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 0.27, N = 3 SE +/- 1.33, N = 3 993.46 992.73 992.94 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.1175 0.235 0.3525 0.47 0.5875 SE +/- 0.003, N = 3 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 0.522 0.518 0.519 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 200K 400K 600K 800K 1000K SE +/- 1658.61, N = 3 SE +/- 1718.08, N = 3 SE +/- 4835.91, N = 3 1134964.5 1131288.1 1128771.5
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-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 200K 400K 600K 800K 1000K SE +/- 1466.20, N = 3 SE +/- 3995.71, N = 3 SE +/- 381.22, N = 3 1155511.6 1154840.1 1152691.2
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 300K 600K 900K 1200K 1500K SE +/- 369.57, N = 3 SE +/- 238.09, N = 3 SE +/- 1127.04, N = 3 1166424.5 1169460.9 1167644.9
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 110K 220K 330K 440K 550K SE +/- 499.31, N = 3 SE +/- 2349.50, N = 3 SE +/- 837.19, N = 3 517377.47 510641.79 535529.45 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2M 4M 6M 8M 10M SE +/- 98710.99, N = 3 SE +/- 60699.02, N = 3 SE +/- 54228.54, N = 3 11231933 10449837 10123507 1. (CXX) g++ options: -O3 -fopenmp
LeelaChessZero LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 50 100 150 200 250 SE +/- 1.20, N = 3 SE +/- 3.71, N = 3 229 229 228 1. (CXX) g++ options: -flto -pthread
OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 110 220 330 440 550 SE +/- 4.10, N = 3 SE +/- 0.67, N = 3 SE +/- 2.65, N = 3 519 530 513 1. (CXX) g++ options: -flto -pthread
LibRaw LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.03, N = 3 31.96 31.82 31.47 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30 60 90 120 150 SE +/- 0.66, N = 3 SE +/- 0.81, N = 3 SE +/- 0.09, N = 3 121.44 121.73 120.36
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 6 12 18 24 30 SE +/- 0.09, N = 3 SE +/- 0.17, N = 3 SE +/- 0.02, N = 3 25.52 25.53 25.42
OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 10.70 10.67 10.73
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.009, N = 3 SE +/- 0.038, N = 3 SE +/- 0.054, N = 3 7.989 7.885 7.934 MIN: 7.93 / MAX: 10.34 MIN: 7.8 / MAX: 9.55 MIN: 7.8 / MAX: 20.69 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 43.35 43.01 43.09 MIN: 43.19 / MAX: 56.37 MIN: 42.74 / MAX: 58.11 MIN: 42.85 / MAX: 45.61 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 1.1061 2.2122 3.3183 4.4244 5.5305 SE +/- 0.002, N = 3 SE +/- 0.005, N = 3 SE +/- 0.006, N = 3 4.914 4.895 4.916 MIN: 4.88 / MAX: 7.28 MIN: 4.86 / MAX: 7.16 MIN: 4.87 / MAX: 17.67 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.013, N = 3 SE +/- 0.005, N = 3 SE +/- 0.012, N = 3 6.324 6.319 6.331 MIN: 6.27 / MAX: 8.77 MIN: 6.28 / MAX: 7.95 MIN: 6.28 / MAX: 19.69 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 11 22 33 44 55 SE +/- 0.05, N = 3 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 49.01 48.70 48.83 MIN: 48.65 / MAX: 62.18 MIN: 48.17 / MAX: 62.63 MIN: 48.32 / MAX: 58.14 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 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 60 120 180 240 300 SE +/- 0.67, N = 3 271 271 270 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.12, N = 3 82.51 82.38 82.51 MIN: 78.95 / MAX: 83.92 MIN: 79.47 / MAX: 83.92 MIN: 79.47 / MAX: 83.92 1. mpv 0.32.0
OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 50 100 150 200 250 SE +/- 0.48, N = 3 SE +/- 0.17, N = 3 SE +/- 0.53, N = 3 214.31 215.24 215.32 MIN: 190.48 / MAX: 222.23 MIN: 193.55 / MAX: 222.23 MIN: 193.55 / MAX: 222.23 1. mpv 0.32.0
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.7729 1.5458 2.3187 3.0916 3.8645 SE +/- 0.00319, N = 3 SE +/- 0.00499, N = 3 SE +/- 0.00509, N = 3 3.43492 3.42653 3.42570
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 25.70 25.69 25.73 MIN: 25.6 / MAX: 26.49 MIN: 25.58 / MAX: 26.97 MIN: 25.58 / MAX: 27.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 30.35 30.39 30.36 MIN: 30.19 / MAX: 41.39 MIN: 30.25 / MAX: 41.35 MIN: 30.25 / MAX: 41.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 8.03 8.06 8.05 MIN: 7.95 / MAX: 9.23 MIN: 7.97 / MAX: 9.75 MIN: 7.97 / MAX: 9.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.86 6.86 6.86 MIN: 6.79 / MAX: 8.38 MIN: 6.79 / MAX: 8.22 MIN: 6.79 / MAX: 8.31 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.945 1.89 2.835 3.78 4.725 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 4.18 4.20 4.17 MIN: 4.15 / MAX: 5.12 MIN: 4.16 / MAX: 5.28 MIN: 4.14 / MAX: 5.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.35 6.35 6.35 MIN: 6.3 / MAX: 7.39 MIN: 6.31 / MAX: 7.4 MIN: 6.3 / MAX: 8.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 10.66 10.66 10.64 MIN: 10.6 / MAX: 12.92 MIN: 10.58 / MAX: 21.44 MIN: 10.59 / MAX: 11.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.3758 0.7516 1.1274 1.5032 1.879 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.67 1.67 1.67 MIN: 1.65 / MAX: 1.71 MIN: 1.65 / MAX: 1.87 MIN: 1.65 / MAX: 1.69 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 5 10 15 20 25 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 22.04 22.03 22.02 MIN: 21.95 / MAX: 23.97 MIN: 21.95 / MAX: 24.29 MIN: 21.94 / MAX: 23.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 111.73 111.43 111.70 MIN: 111.37 / MAX: 122.13 MIN: 111.01 / MAX: 123.94 MIN: 111.2 / MAX: 123.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 21.76 21.75 21.77 MIN: 21.63 / MAX: 22.1 MIN: 21.66 / MAX: 24.09 MIN: 21.62 / MAX: 23.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 24.31 24.30 24.28 MIN: 24.17 / MAX: 32.09 MIN: 24.19 / MAX: 35.23 MIN: 24.19 / MAX: 26.61 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 10 20 30 40 50 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 45.93 45.89 45.93 MIN: 45.76 / MAX: 56.57 MIN: 45.75 / MAX: 48.52 MIN: 45.75 / MAX: 56.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 42.05 42.07 42.07 MIN: 41.95 / MAX: 42.75 MIN: 41.96 / MAX: 44.26 MIN: 41.96 / MAX: 44.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 10 20 30 40 50 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 SE +/- 0.11, N = 3 43.82 43.84 43.79 MIN: 43.27 / MAX: 45.47 MIN: 43.36 / MAX: 44.83 MIN: 43.2 / MAX: 79.94 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 9 18 27 36 45 SE +/- 0.36, N = 3 SE +/- 0.44, N = 3 SE +/- 0.47, N = 3 38.26 38.20 38.34 MIN: 36.04 / MAX: 46.85 MIN: 36.45 / MAX: 46.01 MIN: 35.99 / MAX: 46.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 12.43 12.44 12.42 MIN: 11.96 / MAX: 12.74 MIN: 12.23 / MAX: 13.62 MIN: 11.97 / MAX: 12.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 13.74 13.74 13.74 MIN: 13.52 / MAX: 13.99 MIN: 13.57 / MAX: 13.93 MIN: 13.52 / MAX: 14.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.21, N = 3 8.71 8.64 8.83 MIN: 7.96 / MAX: 8.98 MIN: 8.3 / MAX: 8.88 MIN: 8.49 / MAX: 9.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 12.62 12.62 12.62 MIN: 12.59 / MAX: 12.69 MIN: 12.1 / MAX: 13.18 MIN: 12.12 / MAX: 12.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 25.68 25.67 25.68 MIN: 25.44 / MAX: 25.75 MIN: 25.03 / MAX: 25.83 MIN: 25.45 / MAX: 26.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.6345 1.269 1.9035 2.538 3.1725 SE +/- 0.20, N = 3 SE +/- 0.14, N = 3 SE +/- 0.01, N = 3 2.82 2.72 2.67 MIN: 2.38 / MAX: 3.38 MIN: 2.4 / MAX: 3.3 MIN: 2.3 / MAX: 3.13 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 8 16 24 32 40 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 34.96 34.94 34.94 MIN: 34.69 / MAX: 35.06 MIN: 34.31 / MAX: 35.12 MIN: 34.66 / MAX: 35.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 40 80 120 160 200 SE +/- 0.45, N = 3 SE +/- 0.04, N = 3 SE +/- 0.58, N = 3 200.89 200.92 199.92 MIN: 199.13 / MAX: 202.69 MIN: 199.69 / MAX: 202.6 MIN: 197.78 / MAX: 202.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 30.26 30.27 30.26 MIN: 30.05 / MAX: 30.36 MIN: 30 / MAX: 30.38 MIN: 30.05 / MAX: 30.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 10 20 30 40 50 SE +/- 0.19, N = 3 SE +/- 0.10, N = 3 SE +/- 0.35, N = 3 44.47 43.40 43.91 MIN: 43.12 / MAX: 47.28 MIN: 42.14 / MAX: 45.48 MIN: 42.42 / MAX: 47.16 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 16 32 48 64 80 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 74.20 74.18 74.16 MIN: 73.88 / MAX: 74.6 MIN: 73.92 / MAX: 74.41 MIN: 73.75 / MAX: 74.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 79.96 80.05 80.00 MIN: 63.74 / MAX: 83.15 MIN: 78.58 / MAX: 86.33 MIN: 78.65 / MAX: 84.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
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 TPS, More Is Better PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 6K 12K 18K 24K 30K SE +/- 109.30, N = 3 SE +/- 11.07, N = 3 SE +/- 183.92, N = 3 28293 28241 29132 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 Only - Average Latency Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.0079 0.0158 0.0237 0.0316 0.0395 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.035 0.035 0.034 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: 1 - Mode: Read Write Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 400 800 1200 1600 2000 SE +/- 8.21, N = 3 SE +/- 2.10, N = 3 SE +/- 3.53, N = 3 2027 1991 2017 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.113 0.226 0.339 0.452 0.565 SE +/- 0.002, N = 3 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 0.493 0.502 0.496 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30K 60K 90K 120K 150K SE +/- 1982.14, N = 3 SE +/- 380.85, N = 3 SE +/- 1611.71, N = 3 130872 129303 133033 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.0871 0.1742 0.2613 0.3484 0.4355 SE +/- 0.006, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 0.382 0.387 0.376 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 30K 60K 90K 120K 150K SE +/- 1891.40, N = 3 SE +/- 1149.67, N = 15 SE +/- 1544.88, N = 15 119863 122211 124644 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.1879 0.3758 0.5637 0.7516 0.9395 SE +/- 0.013, N = 3 SE +/- 0.007, N = 15 SE +/- 0.010, N = 15 0.835 0.820 0.804 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 500 1000 1500 2000 2500 SE +/- 2.55, N = 3 SE +/- 0.43, N = 3 SE +/- 1.32, N = 3 2448 2399 2410 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 20.43 20.84 20.75 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 5K 10K 15K 20K 25K SE +/- 38.89, N = 3 SE +/- 160.82, N = 3 SE +/- 67.75, N = 3 24698 24842 25471 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.0092 0.0184 0.0276 0.0368 0.046 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 SE +/- 0.000, N = 3 0.041 0.040 0.039 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 500 1000 1500 2000 2500 SE +/- 6.25, N = 3 SE +/- 13.31, N = 3 SE +/- 23.77, N = 7 2177 2165 2145 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 11 22 33 44 55 SE +/- 0.13, N = 3 SE +/- 0.29, N = 3 SE +/- 0.53, N = 7 45.96 46.21 46.67 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 400 800 1200 1600 2000 SE +/- 2.63, N = 3 SE +/- 6.30, N = 3 SE +/- 4.47, N = 3 1857 1704 1716 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.1321 0.2642 0.3963 0.5284 0.6605 SE +/- 0.001, N = 3 SE +/- 0.002, N = 3 SE +/- 0.002, N = 3 0.538 0.587 0.583 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 20K 40K 60K 80K 100K SE +/- 344.72, N = 3 SE +/- 237.20, N = 3 SE +/- 173.39, N = 3 111733 112480 113279 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.1008 0.2016 0.3024 0.4032 0.504 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 0.448 0.445 0.441 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 20K 40K 60K 80K 100K SE +/- 789.44, N = 3 SE +/- 235.90, N = 3 SE +/- 381.08, N = 3 107131 106731 106651 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.2111 0.4222 0.6333 0.8444 1.0555 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 SE +/- 0.003, N = 3 0.934 0.937 0.938 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 3K 6K 9K 12K 15K SE +/- 49.30, N = 3 SE +/- 42.18, N = 3 SE +/- 83.62, N = 3 14208 13047 13047 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.8624 1.7248 2.5872 3.4496 4.312 SE +/- 0.012, N = 3 SE +/- 0.012, N = 3 SE +/- 0.025, N = 3 3.520 3.833 3.833 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 3K 6K 9K 12K 15K SE +/- 16.47, N = 3 SE +/- 10.04, N = 3 SE +/- 46.82, N = 3 13482 12128 12164 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.010, N = 3 SE +/- 0.007, N = 3 SE +/- 0.032, N = 3 7.420 8.248 8.225 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
RealSR-NCNN RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RealSR-NCNN 20200818 Scale: 4x - TAA: No Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 60 120 180 240 300 SE +/- 0.19, N = 3 SE +/- 0.14, N = 3 SE +/- 0.23, N = 3 258.69 258.09 258.51
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 25.14 25.17 25.23 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Timed HMMer Search This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 110.41 110.44 110.44 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 70 140 210 280 350 SE +/- 0.64, N = 3 SE +/- 0.19, N = 3 SE +/- 1.83, N = 3 331.02 329.10 331.54 MIN: 328.98 / MAX: 335.04 MIN: 327.92 / MAX: 336.27 MIN: 328.47 / MAX: 335.84 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 70 140 210 280 350 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 313.08 313.00 312.98 MIN: 312.16 / MAX: 314.14 MIN: 312.25 / MAX: 313.9 MIN: 312.05 / MAX: 313.86 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
VkFFT VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 200 400 600 800 1000 SE +/- 1.00, N = 3 SE +/- 0.33, N = 3 1113 1109 1082
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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.3481 0.6962 1.0443 1.3924 1.7405 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 1.546 1.547 1.547 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 0.5369 1.0738 1.6107 2.1476 2.6845 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.003, N = 3 2.386 2.377 2.382 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 17.75 17.42 17.48 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 2 4 6 8 10 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.011, N = 3 7.177 7.202 7.169 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 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 10 20 30 40 50 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 43.61 43.36 43.30 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Linux 5.9-rc1 Linux 5.9-rc7 Linux 5.9-rc7 + mitigations=off 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 15.1 15.1 15.2 1. (CC) gcc options: -O3 -pthread -lz -llzma
Linux 5.9-rc1 Processor: Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads), Motherboard: Gigabyte B460M DS3H (F2 BIOS), Chipset: Intel Device 9b63, Memory: 16GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: Gigabyte Intel UHD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, 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: 0xccPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 October 2020 06:48 by user phoronix.
Linux 5.9-rc7 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: 0xccPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 October 2020 15:29 by user phoronix.
Linux 5.9-rc7 + mitigations=off Processor: Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads), Motherboard: Gigabyte B460M DS3H (F2 BIOS), Chipset: Intel Device 9b63, Memory: 16GB, Disk: 500GB Western Digital WDS500G3X0C-00SJG0, Graphics: Gigabyte Intel UHD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20201002-generic (x86_64) 20201001, Desktop: GNOME Shell 3.36.3, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, 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: 0xccPython Notes: Python 3.8.2Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 3 October 2020 05:41 by user phoronix.