Intel Core i5-7600K testing with a Gigabyte Z270M-D3H-CF (F8d BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2009288-FI-SKYLAKECO89 Skylake Core i5 7600K - Phoronix Test Suite Skylake Core i5 7600K Intel Core i5-7600K testing with a Gigabyte Z270M-D3H-CF (F8d BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2009288-FI-SKYLAKECO89&grt .
Skylake Core i5 7600K Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Linux 5.4 Linux 5.8 Linux 5.9-rc7 Intel Core i5-7600K @ 4.20GHz (4 Cores) Gigabyte Z270M-D3H-CF (F8d BIOS) Intel Xeon E3-1200 v6/7th + Z270 8GB 250GB Samsung SSD 850 Gigabyte Intel HD 630 3GB (1150MHz) Realtek ALC892 DELL S2409W Intel I219-V Ubuntu 20.04 5.4.0-40-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.8 GCC 9.3.0 ext4 1920x1080 5.8.0-050800-generic (x86_64) 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927 OpenBenchmarking.org Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 Python Details - Python 2.7.18rc1 + Python 3.8.2 Security Details - Linux 5.4: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled - Linux 5.8: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled - Linux 5.9-rc7: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled
Skylake Core i5 7600K 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 astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive byte: Dhrystone 2 caffe: AlexNet - CPU - 100 caffe: AlexNet - CPU - 200 caffe: GoogleNet - CPU - 100 caffe: GoogleNet - CPU - 200 dcraw: RAW To PPM Image Conversion dolfyn: Computational Fluid Dynamics espeak: Text-To-Speech Synthesis ffte: N=256, 3D Complex FFT Routine glmark2: 1920 x 1080 gromacs: Water Benchmark hint: FLOAT incompact3d: Cylinder influxdb: 4 - 10000 - 2,5000,1 - 10000 influxdb: 64 - 10000 - 2,5000,1 - 10000 influxdb: 1024 - 10000 - 2,5000,1 - 10000 lammps: Rhodopsin Protein lczero: BLAS lczero: Eigen lczero: Rand avifenc: 0 avifenc: 2 avifenc: 8 avifenc: 10 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 opencv: DNN - Deep Neural Network system-decompress-gzip: tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA tnn: CPU - MobileNet v2 tnn: CPU - SqueezeNet v1.1 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 5.4 Linux 5.8 Linux 5.9-rc7 0.23 1.95 14.83 3.08 36.10 185.727 9.21 12.82 84.22 666.43 41790341.9 37195 74304 83037 166036 39.375 19.767 29.470 14352.075945619 270 0.403 421925608.16022 717.255167 937657.3 992597.8 153897.6 2.951 596 541 259427 187.107 111.150 7.902 7.275 26.45 54.52 117.86 25.97 5.23 7.534 38.350 5.235 6.199 44.091 283 68.82 156.42 4.23896 31.77 37.37 9.86 8.11 4.32 7.43 13.21 1.60 30.35 152.70 34.85 31.59 63.19 56.47 3968 3.066 448522 6466700 324763 304817 311977 5850723 111.421 14.245 316.068 319.250 1.604 2.523 18.595 7.517 46.796 1664.5 11.1 0.23 1.95 14.85 3.08 36.04 171.418 9.26 12.83 84.29 667.32 40961847.7 37152 74190 83056 165886 39.556 19.806 29.851 14892.803419999 266 0.401 420455645.07043 719.628886 909518.4 973031.2 192585.4 2.966 578 542 257960 187.175 111.210 7.925 7.304 26.42 56.94 124.26 25.92 5.26 7.533 38.397 5.275 6.237 44.481 283 69.19 157.97 4.23219 32.00 37.22 9.88 8.12 4.37 7.41 13.22 1.58 30.42 153.28 35.06 31.8 63.57 56.53 3893 3.085 448581 6467957 324897 304775 311961 5852500 111.028 13.835 319.322 320.761 1.611 2.530 18.792 7.565 46.861 1692.0 11.1 0.23 1.95 14.82 3.09 35.84 171.430 9.24 12.84 84.19 666.60 41384796.7 37171 74318 82755 165644 39.558 19.855 29.750 14887.318456502 265 0.396 418292154.53046 718.985575 909568.5 972993.4 171706.7 2.962 595 547 258012 187.344 110.751 7.934 7.308 26.39 57.58 124.41 7.492 38.222 5.235 6.135 44.071 284 69.33 157.30 4.22588 31.46 37.04 9.85 8.05 4.33 7.41 13.08 1.60 30.17 153.66 34.86 31.80 63.38 56.12 3945 3.077 448651 6467277 324743 304734 311955 5850147 111.474 13.865 315.220 320.908 1.611 2.533 18.778 7.554 46.694 1683.4 11.1 OpenBenchmarking.org
AOM AV1 Encoder Mode: Speed 0 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.0518 0.1036 0.1554 0.2072 0.259 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.23 0.23 0.23 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 4 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.4388 0.8776 1.3164 1.7552 2.194 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.95 1.95 1.95 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 6 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Linux 5.4 Linux 5.8 Linux 5.9-rc7 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 14.83 14.85 14.82 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 6 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.6953 1.3906 2.0859 2.7812 3.4765 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.08 3.08 3.09 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 8 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Linux 5.4 Linux 5.8 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 36.10 36.04 35.84 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Apache CouchDB Bulk Size: 100 - Inserts: 1000 - Rounds: 24 OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Linux 5.4 Linux 5.8 Linux 5.9-rc7 40 80 120 160 200 SE +/- 1.34, N = 3 SE +/- 0.68, N = 3 SE +/- 1.07, N = 3 185.73 171.42 171.43 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
ASTC Encoder Preset: Fast OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast Linux 5.4 Linux 5.8 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 9.21 9.26 9.24 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Medium OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Linux 5.4 Linux 5.8 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 12.82 12.83 12.84 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Thorough OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Linux 5.4 Linux 5.8 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 84.22 84.29 84.19 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Linux 5.4 Linux 5.8 Linux 5.9-rc7 140 280 420 560 700 SE +/- 0.08, N = 3 SE +/- 0.21, N = 3 SE +/- 0.02, N = 3 666.43 667.32 666.60 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 Linux 5.4 Linux 5.8 Linux 5.9-rc7 9M 18M 27M 36M 45M SE +/- 56303.52, N = 3 SE +/- 398527.19, N = 3 SE +/- 41035.50, N = 3 41790341.9 40961847.7 41384796.7
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Linux 5.4 Linux 5.8 Linux 5.9-rc7 8K 16K 24K 32K 40K SE +/- 18.21, N = 3 SE +/- 40.76, N = 3 SE +/- 69.24, N = 3 37195 37152 37171 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Linux 5.4 Linux 5.8 Linux 5.9-rc7 16K 32K 48K 64K 80K SE +/- 31.94, N = 3 SE +/- 69.44, N = 3 SE +/- 53.93, N = 3 74304 74190 74318 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Linux 5.4 Linux 5.8 Linux 5.9-rc7 20K 40K 60K 80K 100K SE +/- 41.37, N = 3 SE +/- 28.39, N = 3 SE +/- 28.50, N = 3 83037 83056 82755 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 200 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Linux 5.4 Linux 5.8 Linux 5.9-rc7 40K 80K 120K 160K 200K SE +/- 107.38, N = 3 SE +/- 114.01, N = 3 SE +/- 59.21, N = 3 166036 165886 165644 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
dcraw RAW To PPM Image Conversion OpenBenchmarking.org Seconds, Fewer Is Better dcraw RAW To PPM Image Conversion Linux 5.4 Linux 5.8 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 39.38 39.56 39.56 1. (CC) gcc options: -lm
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics Linux 5.4 Linux 5.8 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 19.77 19.81 19.86
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Linux 5.4 Linux 5.8 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.33, N = 4 SE +/- 0.06, N = 4 SE +/- 0.08, N = 4 29.47 29.85 29.75 1. (CC) gcc options: -O2 -std=c99
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine Linux 5.4 Linux 5.8 Linux 5.9-rc7 3K 6K 9K 12K 15K SE +/- 36.05, N = 3 SE +/- 86.19, N = 3 SE +/- 52.01, N = 3 14352.08 14892.80 14887.32 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
GLmark2 Resolution: 1920 x 1080 OpenBenchmarking.org Score, More Is Better GLmark2 2020.04 Resolution: 1920 x 1080 Linux 5.4 Linux 5.8 Linux 5.9-rc7 60 120 180 240 300 270 266 265
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.0907 0.1814 0.2721 0.3628 0.4535 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.004, N = 3 0.403 0.401 0.396 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT Linux 5.4 Linux 5.8 Linux 5.9-rc7 90M 180M 270M 360M 450M SE +/- 520383.70, N = 3 SE +/- 384378.24, N = 3 SE +/- 735201.39, N = 3 421925608.16 420455645.07 418292154.53 1. (CC) gcc options: -O3 -march=native -lm
Incompact3D Input: Cylinder OpenBenchmarking.org Seconds, Fewer Is Better Incompact3D 2020-09-17 Input: Cylinder Linux 5.4 Linux 5.8 Linux 5.9-rc7 160 320 480 640 800 SE +/- 0.81, N = 3 SE +/- 0.60, N = 3 SE +/- 0.86, N = 3 717.26 719.63 718.99 1. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
InfluxDB Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 Linux 5.8 Linux 5.9-rc7 200K 400K 600K 800K 1000K SE +/- 1359.16, N = 3 SE +/- 3942.70, N = 3 SE +/- 4044.96, N = 3 937657.3 909518.4 909568.5
InfluxDB Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 OpenBenchmarking.org val/sec, More Is Better InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 Linux 5.4 Linux 5.8 Linux 5.9-rc7 200K 400K 600K 800K 1000K SE +/- 2666.96, N = 3 SE +/- 4047.03, N = 3 SE +/- 3165.42, N = 3 992597.8 973031.2 972993.4
InfluxDB Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 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 5.4 Linux 5.8 Linux 5.9-rc7 40K 80K 120K 160K 200K SE +/- 29201.22, N = 15 SE +/- 25256.96, N = 15 SE +/- 24548.58, N = 4 153897.6 192585.4 171706.7
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.6674 1.3348 2.0022 2.6696 3.337 SE +/- 0.014, N = 3 SE +/- 0.007, N = 3 SE +/- 0.010, N = 3 2.951 2.966 2.962 1. (CXX) g++ options: -O3 -pthread -lm
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: BLAS Linux 5.4 Linux 5.8 Linux 5.9-rc7 130 260 390 520 650 SE +/- 4.33, N = 3 SE +/- 6.67, N = 3 SE +/- 5.04, N = 3 596 578 595 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Eigen Linux 5.4 Linux 5.8 Linux 5.9-rc7 120 240 360 480 600 SE +/- 0.88, N = 3 541 542 547 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Random OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.26 Backend: Random Linux 5.4 Linux 5.8 Linux 5.9-rc7 60K 120K 180K 240K 300K SE +/- 361.02, N = 3 SE +/- 412.05, N = 3 SE +/- 167.29, N = 3 259427 257960 258012 1. (CXX) g++ options: -flto -pthread
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 Linux 5.4 Linux 5.8 Linux 5.9-rc7 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 SE +/- 0.49, N = 3 187.11 187.18 187.34 1. (CXX) g++ options: -O3 -fPIC
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 Linux 5.4 Linux 5.8 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.31, N = 3 SE +/- 0.14, N = 3 SE +/- 0.02, N = 3 111.15 111.21 110.75 1. (CXX) g++ options: -O3 -fPIC
libavif avifenc Encoder Speed: 8 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 7.902 7.925 7.934 1. (CXX) g++ options: -O3 -fPIC
libavif avifenc Encoder Speed: 10 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.004, N = 3 SE +/- 0.002, N = 3 7.275 7.304 7.308 1. (CXX) g++ options: -O3 -fPIC
LibRaw Post-Processing Benchmark OpenBenchmarking.org Mpix/sec, More Is Better LibRaw 0.20 Post-Processing Benchmark Linux 5.4 Linux 5.8 Linux 5.9-rc7 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 26.45 26.42 26.39 1. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica Linux 5.4 Linux 5.8 Linux 5.9-rc7 13 26 39 52 65 SE +/- 0.11, N = 3 SE +/- 0.58, N = 8 SE +/- 0.39, N = 3 54.52 56.94 57.58
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda Linux 5.4 Linux 5.8 Linux 5.9-rc7 30 60 90 120 150 SE +/- 1.03, N = 3 SE +/- 2.32, N = 12 SE +/- 5.00, N = 5 117.86 124.26 124.41
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm Linux 5.4 Linux 5.8 6 12 18 24 30 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 25.97 25.92
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression Linux 5.4 Linux 5.8 1.1835 2.367 3.5505 4.734 5.9175 SE +/- 0.05, N = 9 SE +/- 0.09, N = 3 5.23 5.26
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.021, N = 3 SE +/- 0.008, N = 3 SE +/- 0.011, N = 3 7.534 7.533 7.492 MIN: 7.45 / MAX: 17.56 MIN: 7.48 / MAX: 8.98 MIN: 7.43 / MAX: 8.25 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: resnet-v2-50 Linux 5.4 Linux 5.8 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.14, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 38.35 38.40 38.22 MIN: 37.95 / MAX: 134.88 MIN: 38.08 / MAX: 62.17 MIN: 37.93 / MAX: 47.53 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 Linux 5.4 Linux 5.8 Linux 5.9-rc7 1.1869 2.3738 3.5607 4.7476 5.9345 SE +/- 0.009, N = 3 SE +/- 0.014, N = 3 SE +/- 0.003, N = 3 5.235 5.275 5.235 MIN: 5.15 / MAX: 7.1 MIN: 5.2 / MAX: 6.63 MIN: 5.17 / MAX: 6.03 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
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.012, N = 3 SE +/- 0.007, N = 3 SE +/- 0.002, N = 3 6.199 6.237 6.135 MIN: 6.12 / MAX: 8.28 MIN: 6.17 / MAX: 7.52 MIN: 6.08 / MAX: 6.81 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2020-09-17 Model: inception-v3 Linux 5.4 Linux 5.8 Linux 5.9-rc7 10 20 30 40 50 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 44.09 44.48 44.07 MIN: 43.88 / MAX: 54.42 MIN: 44.22 / MAX: 54.32 MIN: 43.85 / MAX: 53.36 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Monte Carlo Simulations of Ionised Nebulae Input: Dust 2D tau100.0 OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Linux 5.4 Linux 5.8 Linux 5.9-rc7 60 120 180 240 300 283 283 284 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only Linux 5.4 Linux 5.8 Linux 5.9-rc7 15 30 45 60 75 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 68.82 69.19 69.33 MIN: 65.22 / MAX: 70.59 MIN: 65.93 / MAX: 70.59 MIN: 65.93 / MAX: 70.59 1. mpv 0.32.0
MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only OpenBenchmarking.org FPS, More Is Better MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only Linux 5.4 Linux 5.8 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.30, N = 3 SE +/- 0.13, N = 3 SE +/- 0.30, N = 3 156.42 157.97 157.30 MIN: 141.18 / MAX: 162.16 MIN: 146.34 / MAX: 164.39 MIN: 142.86 / MAX: 164.39 1. mpv 0.32.0
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.9538 1.9076 2.8614 3.8152 4.769 SE +/- 0.00404, N = 3 SE +/- 0.00879, N = 3 SE +/- 0.00201, N = 3 4.23896 4.23219 4.22588
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet Linux 5.4 Linux 5.8 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 31.77 32.00 31.46 MIN: 31.66 / MAX: 34.11 MIN: 31.82 / MAX: 41.36 MIN: 31.36 / MAX: 32.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet Linux 5.4 Linux 5.8 Linux 5.9-rc7 9 18 27 36 45 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 37.37 37.22 37.04 MIN: 37.05 / MAX: 39.02 MIN: 37 / MAX: 46.76 MIN: 36.71 / MAX: 39.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 Linux 5.4 Linux 5.8 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 9.86 9.88 9.85 MIN: 9.71 / MAX: 11.93 MIN: 9.75 / MAX: 19.03 MIN: 9.63 / MAX: 11.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 8.11 8.12 8.05 MIN: 7.99 / MAX: 15.98 MIN: 8.03 / MAX: 9.35 MIN: 7.91 / MAX: 11.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.9833 1.9666 2.9499 3.9332 4.9165 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 4.32 4.37 4.33 MIN: 4.26 / MAX: 4.45 MIN: 4.34 / MAX: 6.65 MIN: 4.28 / MAX: 4.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 7.43 7.41 7.41 MIN: 7.35 / MAX: 7.59 MIN: 7.36 / MAX: 7.51 MIN: 7.32 / MAX: 8.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 Linux 5.4 Linux 5.8 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 13.21 13.22 13.08 MIN: 13.11 / MAX: 13.39 MIN: 13.15 / MAX: 15.22 MIN: 12.97 / MAX: 13.24 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.36 0.72 1.08 1.44 1.8 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 1.60 1.58 1.60 MIN: 1.57 / MAX: 1.65 MIN: 1.57 / MAX: 1.62 MIN: 1.58 / MAX: 3.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet Linux 5.4 Linux 5.8 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 30.35 30.42 30.17 MIN: 30.17 / MAX: 40.16 MIN: 30.26 / MAX: 33.11 MIN: 30.04 / MAX: 32.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 Linux 5.4 Linux 5.8 Linux 5.9-rc7 30 60 90 120 150 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.10, N = 3 152.70 153.28 153.66 MIN: 152.38 / MAX: 163.34 MIN: 152.89 / MAX: 162.54 MIN: 153.06 / MAX: 186.71 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 Linux 5.4 Linux 5.8 Linux 5.9-rc7 8 16 24 32 40 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 34.85 35.06 34.86 MIN: 34.61 / MAX: 37.03 MIN: 34.89 / MAX: 44.42 MIN: 34.65 / MAX: 47.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet Linux 5.4 Linux 5.8 Linux 5.9-rc7 7 14 21 28 35 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 31.59 31.80 31.80 MIN: 31.43 / MAX: 34.01 MIN: 31.7 / MAX: 34.06 MIN: 31.66 / MAX: 33.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 Linux 5.4 Linux 5.8 Linux 5.9-rc7 14 28 42 56 70 SE +/- 0.02, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 63.19 63.57 63.38 MIN: 62.91 / MAX: 73.05 MIN: 63.24 / MAX: 96.77 MIN: 63.17 / MAX: 64.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny Linux 5.4 Linux 5.8 Linux 5.9-rc7 13 26 39 52 65 SE +/- 0.10, N = 3 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 56.47 56.53 56.12 MIN: 56.12 / MAX: 66.01 MIN: 56.31 / MAX: 58.43 MIN: 55.84 / MAX: 57.9 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenCV Test: DNN - Deep Neural Network OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network Linux 5.4 Linux 5.8 Linux 5.9-rc7 900 1800 2700 3600 4500 SE +/- 59.81, N = 15 SE +/- 52.19, N = 5 SE +/- 98.17, N = 15 3968 3893 3945 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
System GZIP Decompression OpenBenchmarking.org Seconds, Fewer Is Better System GZIP Decompression Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.6941 1.3882 2.0823 2.7764 3.4705 SE +/- 0.033, N = 14 SE +/- 0.039, N = 14 SE +/- 0.032, N = 14 3.066 3.085 3.077
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Linux 5.4 Linux 5.8 Linux 5.9-rc7 100K 200K 300K 400K 500K SE +/- 40.28, N = 3 SE +/- 55.84, N = 3 SE +/- 41.88, N = 3 448522 448581 448651
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Linux 5.4 Linux 5.8 Linux 5.9-rc7 1.4M 2.8M 4.2M 5.6M 7M SE +/- 274.04, N = 3 SE +/- 1522.00, N = 3 SE +/- 486.91, N = 3 6466700 6467957 6467277
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Linux 5.4 Linux 5.8 Linux 5.9-rc7 70K 140K 210K 280K 350K SE +/- 22.67, N = 3 SE +/- 46.33, N = 3 SE +/- 78.80, N = 3 324763 324897 324743
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Linux 5.4 Linux 5.8 Linux 5.9-rc7 70K 140K 210K 280K 350K SE +/- 56.92, N = 3 SE +/- 61.10, N = 3 SE +/- 33.94, N = 3 304817 304775 304734
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Linux 5.4 Linux 5.8 Linux 5.9-rc7 70K 140K 210K 280K 350K SE +/- 85.05, N = 3 SE +/- 15.34, N = 3 SE +/- 57.45, N = 3 311977 311961 311955
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Linux 5.4 Linux 5.8 Linux 5.9-rc7 1.3M 2.6M 3.9M 5.2M 6.5M SE +/- 248.35, N = 3 SE +/- 753.68, N = 3 SE +/- 98.21, N = 3 5850723 5852500 5850147
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search Linux 5.4 Linux 5.8 Linux 5.9-rc7 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 111.42 111.03 111.47 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Linux 5.4 Linux 5.8 Linux 5.9-rc7 4 8 12 16 20 SE +/- 0.18, N = 3 SE +/- 0.08, N = 3 SE +/- 0.05, N = 3 14.25 13.84 13.87 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
TNN Target: CPU - Model: MobileNet v2 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 Linux 5.4 Linux 5.8 Linux 5.9-rc7 70 140 210 280 350 SE +/- 0.38, N = 3 SE +/- 1.33, N = 3 SE +/- 0.05, N = 3 316.07 319.32 315.22 MIN: 314.64 / MAX: 322.12 MIN: 316.22 / MAX: 322.75 MIN: 314.26 / MAX: 316.66 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
TNN Target: CPU - Model: SqueezeNet v1.1 OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 Linux 5.4 Linux 5.8 Linux 5.9-rc7 70 140 210 280 350 SE +/- 0.11, N = 3 SE +/- 0.07, N = 3 SE +/- 0.04, N = 3 319.25 320.76 320.91 MIN: 318.44 / MAX: 320.42 MIN: 319.87 / MAX: 321.67 MIN: 320.09 / MAX: 321.78 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
WebP Image Encode Encode Settings: Default OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Default Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.3625 0.725 1.0875 1.45 1.8125 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 1.604 1.611 1.611 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100 Linux 5.4 Linux 5.8 Linux 5.9-rc7 0.5699 1.1398 1.7097 2.2796 2.8495 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 2.523 2.530 2.533 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
WebP Image Encode Encode Settings: Quality 100, Lossless OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Linux 5.4 Linux 5.8 Linux 5.9-rc7 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 18.60 18.79 18.78 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Linux 5.4 Linux 5.8 Linux 5.9-rc7 2 4 6 8 10 SE +/- 0.003, N = 3 SE +/- 0.007, N = 3 SE +/- 0.008, N = 3 7.517 7.565 7.554 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
WebP Image Encode Encode Settings: Quality 100, Lossless, Highest Compression OpenBenchmarking.org Encode Time - Seconds, Fewer Is Better WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Linux 5.4 Linux 5.8 Linux 5.9-rc7 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 46.80 46.86 46.69 1. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
Zstd Compression Compression Level: 3 OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 3 Linux 5.4 Linux 5.8 Linux 5.9-rc7 400 800 1200 1600 2000 SE +/- 11.49, N = 3 SE +/- 3.43, N = 3 SE +/- 9.78, N = 3 1664.5 1692.0 1683.4 1. (CC) gcc options: -O3 -pthread -lz -llzma
Zstd Compression Compression Level: 19 OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.4.5 Compression Level: 19 Linux 5.4 Linux 5.8 Linux 5.9-rc7 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 11.1 11.1 11.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
Phoronix Test Suite v10.8.4