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.

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
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AV1 2 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 6 Tests
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Creator Workloads 7 Tests
Database Test Suite 2 Tests
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Fortran Tests 5 Tests
HPC - High Performance Computing 17 Tests
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Multi-Core 6 Tests
NVIDIA GPU Compute 4 Tests
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Linux 5.4
September 27 2020
  8 Hours, 39 Minutes
Linux 5.8
September 28 2020
  8 Hours, 47 Minutes
Linux 5.9-rc7
September 28 2020
  8 Hours, 4 Minutes
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  8 Hours, 30 Minutes

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Linux 5.4

Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, 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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

OS: Ubuntu 20.04, Kernel: 5.8.0-050800-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Linux 5.9-rc7

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, 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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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 7600KOpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-7600K @ 4.20GHz (4 Cores)Gigabyte Z270M-D3H-CF (F8d BIOS)Intel Xeon E3-1200 v6/7th + Z2708GB250GB Samsung SSD 850Gigabyte Intel HD 630 3GB (1150MHz)Realtek ALC892DELL S2409WIntel I219-VUbuntu 20.045.4.0-40-generic (x86_64)5.8.0-050800-generic (x86_64)5.9.0-050900rc7daily20200928-generic (x86_64) 20200927GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionSkylake Core I5 7600K BenchmarksSystem 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: 0xd6 - Python 2.7.18rc1 + Python 3.8.2- 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

Linux 5.4Linux 5.8Linux 5.9-rc7Result OverviewPhoronix Test Suite100%102%104%106%108%Apache CouchDBInfluxDBMlpack BenchmarkOpenCVFFTETimed MAFFT AlignmentBYTE Unix BenchmarkGLmark2GROMACSLeelaChessZeroeSpeak-NG Speech EngineTNNMobile Neural NetworkHierarchical INTegrationZstd CompressionMPVSystem GZIP DecompressionWebP Image EncodeLAMMPS Molecular Dynamics SimulatordcrawNCNNTimed HMMer SearchDolfynNAMDMonte Carlo Simulations of Ionised NebulaeLibRawASTC Encoderlibavif avifencAOM AV1TensorFlow LiteCaffeIncompact3D

Skylake Core i5 7600Kmpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlyaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimebyte: Dhrystone 2compress-zstd: 3compress-zstd: 19ffte: N=256, 3D Complex FFT Routinelibraw: Post-Processing Benchmarklczero: BLASlczero: Eigenlczero: Randgromacs: Water Benchmarklammps: Rhodopsin Proteinhint: FLOATglmark2: 1920 x 1080influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000namd: ATPase Simulation - 327,506 Atomswebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressiontensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1opencv: DNN - Deep Neural Networkdolfyn: Computational Fluid Dynamicshmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0avifenc: 0avifenc: 2avifenc: 8avifenc: 10dcraw: RAW To PPM Image Conversionespeak: Text-To-Speech Synthesissystem-decompress-gzip: couchdb: 100 - 1000 - 24astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivemlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9-rc768.82156.420.231.9514.833.0836.1041790341.91664.511.114352.07594561926.455965412594270.4032.951421925608.16022270937657.3992597.8153897.64.238961.6042.52318.5957.51746.796448522646670032476330481731197758507233719574304830371660367.53438.3505.2356.19944.09131.7737.379.868.114.327.4313.211.6030.35152.7034.8531.5963.1956.47316.068319.250396819.767111.421717.25516714.245283187.107111.1507.9027.27539.37529.4703.066185.7279.2112.8284.22666.4354.52117.8625.975.2369.19157.970.231.9514.853.0836.0440961847.71692.011.114892.80341999926.425785422579600.4012.966420455645.07043266909518.4973031.2192585.44.232191.6112.53018.7927.56546.861448581646795732489730477531196158525003715274190830561658867.53338.3975.2756.23744.48132.0037.229.888.124.377.4113.221.5830.42153.2835.0631.863.5756.53319.322320.761389319.806111.028719.62888613.835283187.175111.2107.9257.30439.55629.8513.085171.4189.2612.8384.29667.3256.94124.2625.925.2669.33157.300.231.9514.823.0935.8441384796.71683.411.114887.31845650226.395955472580120.3962.962418292154.53046265909568.5972993.4171706.74.225881.6112.53318.7787.55446.694448651646727732474330473431195558501473717174318827551656447.49238.2225.2356.13544.07131.4637.049.858.054.337.4113.081.6030.17153.6634.8631.8063.3856.12315.220320.908394519.855111.474718.98557513.865284187.344110.7517.9347.30839.55829.7503.077171.4309.2412.8484.19666.6057.58124.41OpenBenchmarking.org

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9-rc71530456075SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 368.8269.1969.33MIN: 65.22 / MAX: 70.59MIN: 65.93 / MAX: 70.59MIN: 65.93 / MAX: 70.591. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9-rc71326395265Min: 68.75 / Avg: 68.82 / Max: 68.88Min: 69.17 / Avg: 69.19 / Max: 69.2Min: 69.32 / Avg: 69.33 / Max: 69.351. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 3156.42157.97157.30MIN: 141.18 / MAX: 162.16MIN: 146.34 / MAX: 164.39MIN: 142.86 / MAX: 164.391. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 155.83 / Avg: 156.42 / Max: 156.76Min: 157.79 / Avg: 157.97 / Max: 158.22Min: 156.8 / Avg: 157.3 / Max: 157.831. mpv 0.32.0

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.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc70.05180.10360.15540.20720.259SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.230.230.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc712345Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.23 / Avg: 0.23 / Max: 0.23Min: 0.23 / Avg: 0.23 / Max: 0.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc70.43880.87761.31641.75522.194SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.951.951.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 1.95 / Avg: 1.95 / Max: 1.96Min: 1.95 / Avg: 1.95 / Max: 1.95Min: 1.94 / Avg: 1.95 / Max: 1.951. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.8Linux 5.9-rc748121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.8314.8514.821. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.8Linux 5.9-rc748121620Min: 14.78 / Avg: 14.83 / Max: 14.89Min: 14.8 / Avg: 14.85 / Max: 14.88Min: 14.79 / Avg: 14.82 / Max: 14.841. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc70.69531.39062.08592.78123.4765SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.083.083.091. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 3.07 / Avg: 3.08 / Max: 3.09Min: 3.07 / Avg: 3.08 / Max: 3.08Min: 3.08 / Avg: 3.09 / Max: 3.091. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.8Linux 5.9-rc7816243240SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 336.1036.0435.841. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.8Linux 5.9-rc7816243240Min: 36.08 / Avg: 36.1 / Max: 36.12Min: 35.9 / Avg: 36.04 / Max: 36.16Min: 35.71 / Avg: 35.84 / Max: 35.931. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.9-rc79M18M27M36M45MSE +/- 56303.52, N = 3SE +/- 398527.19, N = 3SE +/- 41035.50, N = 341790341.940961847.741384796.7
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.9-rc77M14M21M28M35MMin: 41678641.9 / Avg: 41790341.93 / Max: 41858544.5Min: 40176993.6 / Avg: 40961847.73 / Max: 41474585.9Min: 41322165.9 / Avg: 41384796.73 / Max: 41462044.4

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9-rc7400800120016002000SE +/- 11.49, N = 3SE +/- 3.43, N = 3SE +/- 9.78, N = 31664.51692.01683.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9-rc730060090012001500Min: 1646.4 / Avg: 1664.47 / Max: 1685.8Min: 1687.1 / Avg: 1692 / Max: 1698.6Min: 1664.2 / Avg: 1683.4 / Max: 1696.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.111.111.11. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 11.1 / Avg: 11.1 / Max: 11.1Min: 11 / Avg: 11.07 / Max: 11.1Min: 11 / Avg: 11.07 / Max: 11.11. (CC) gcc options: -O3 -pthread -lz -llzma

FFTE

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.9-rc73K6K9K12K15KSE +/- 36.05, N = 3SE +/- 86.19, N = 3SE +/- 52.01, N = 314352.0814892.8014887.321. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.9-rc73K6K9K12K15KMin: 14284.7 / Avg: 14352.08 / Max: 14408.01Min: 14794.15 / Avg: 14892.8 / Max: 15064.55Min: 14821.94 / Avg: 14887.32 / Max: 14990.081. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc7612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 326.4526.4226.391. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc7612182430Min: 26.44 / Avg: 26.45 / Max: 26.47Min: 26.4 / Avg: 26.42 / Max: 26.43Min: 26.33 / Avg: 26.39 / Max: 26.421. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9-rc7130260390520650SE +/- 4.33, N = 3SE +/- 6.67, N = 3SE +/- 5.04, N = 35965785951. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9-rc7110220330440550Min: 592 / Avg: 596.33 / Max: 605Min: 565 / Avg: 578.33 / Max: 585Min: 585 / Avg: 594.67 / Max: 6021. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9-rc7120240360480600SE +/- 0.88, N = 35415425471. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9-rc7100200300400500Min: 540 / Avg: 541.67 / Max: 5431. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.9-rc760K120K180K240K300KSE +/- 361.02, N = 3SE +/- 412.05, N = 3SE +/- 167.29, N = 32594272579602580121. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KMin: 259060 / Avg: 259427 / Max: 260149Min: 257398 / Avg: 257960 / Max: 258763Min: 257687 / Avg: 258011.67 / Max: 2582441. (CXX) g++ options: -flto -pthread

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.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc70.09070.18140.27210.36280.4535SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 30.4030.4010.3961. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc712345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.39 / Avg: 0.4 / Max: 0.41. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9-rc70.66741.33482.00222.66963.337SE +/- 0.014, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 32.9512.9662.9621. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 2.93 / Avg: 2.95 / Max: 2.98Min: 2.95 / Avg: 2.97 / Max: 2.98Min: 2.94 / Avg: 2.96 / Max: 2.981. (CXX) g++ options: -O3 -pthread -lm

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9-rc790M180M270M360M450MSE +/- 520383.70, N = 3SE +/- 384378.24, N = 3SE +/- 735201.39, N = 3421925608.16420455645.07418292154.531. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9-rc770M140M210M280M350MMin: 421171672.22 / Avg: 421925608.16 / Max: 422923931.93Min: 419832293.91 / Avg: 420455645.07 / Max: 421156954.95Min: 416952046.12 / Avg: 418292154.53 / Max: 419486274.911. (CC) gcc options: -O3 -march=native -lm

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.4Linux 5.8Linux 5.9-rc760120180240300270266265

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.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KSE +/- 1359.16, N = 3SE +/- 3942.70, N = 3SE +/- 4044.96, N = 3937657.3909518.4909568.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7160K320K480K640K800KMin: 934952.7 / Avg: 937657.27 / Max: 939246.1Min: 904908.5 / Avg: 909518.43 / Max: 917363.8Min: 902053.6 / Avg: 909568.53 / Max: 915920.1

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KSE +/- 2666.96, N = 3SE +/- 4047.03, N = 3SE +/- 3165.42, N = 3992597.8973031.2972993.4
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KMin: 987887.5 / Avg: 992597.77 / Max: 997120.4Min: 966273 / Avg: 973031.2 / Max: 980267.8Min: 966687.5 / Avg: 972993.4 / Max: 976632.6

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KSE +/- 29201.22, N = 15SE +/- 25256.96, N = 15SE +/- 24548.58, N = 4153897.6192585.4171706.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KMin: 8377.8 / Avg: 153897.64 / Max: 339496.2Min: 11442.5 / Avg: 192585.39 / Max: 311942.7Min: 128756 / Avg: 171706.7 / Max: 222926.8

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.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9-rc70.95381.90762.86143.81524.769SE +/- 0.00404, N = 3SE +/- 0.00879, N = 3SE +/- 0.00201, N = 34.238964.232194.22588
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 4.23 / Avg: 4.24 / Max: 4.25Min: 4.22 / Avg: 4.23 / Max: 4.25Min: 4.22 / Avg: 4.23 / Max: 4.23

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.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.9-rc70.36250.7251.08751.451.8125SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.6041.6111.6111. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 1.6 / Avg: 1.6 / Max: 1.61Min: 1.61 / Avg: 1.61 / Max: 1.61Min: 1.61 / Avg: 1.61 / Max: 1.611. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8Linux 5.9-rc70.56991.13981.70972.27962.8495SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 32.5232.5302.5331. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 2.52 / Avg: 2.52 / Max: 2.53Min: 2.53 / Avg: 2.53 / Max: 2.53Min: 2.53 / Avg: 2.53 / Max: 2.541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 318.6018.7918.781. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8Linux 5.9-rc7510152025Min: 18.56 / Avg: 18.59 / Max: 18.65Min: 18.7 / Avg: 18.79 / Max: 18.86Min: 18.74 / Avg: 18.78 / Max: 18.821. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 37.5177.5657.5541. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.51 / Avg: 7.52 / Max: 7.52Min: 7.55 / Avg: 7.57 / Max: 7.58Min: 7.54 / Avg: 7.55 / Max: 7.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8Linux 5.9-rc71122334455SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 346.8046.8646.691. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8Linux 5.9-rc71020304050Min: 46.76 / Avg: 46.8 / Max: 46.83Min: 46.8 / Avg: 46.86 / Max: 46.94Min: 46.65 / Avg: 46.69 / Max: 46.741. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9-rc7100K200K300K400K500KSE +/- 40.28, N = 3SE +/- 55.84, N = 3SE +/- 41.88, N = 3448522448581448651
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9-rc780K160K240K320K400KMin: 448444 / Avg: 448521.67 / Max: 448579Min: 448469 / Avg: 448580.67 / Max: 448638Min: 448606 / Avg: 448651.33 / Max: 448735

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9-rc71.4M2.8M4.2M5.6M7MSE +/- 274.04, N = 3SE +/- 1522.00, N = 3SE +/- 486.91, N = 3646670064679576467277
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9-rc71.1M2.2M3.3M4.4M5.5MMin: 6466290 / Avg: 6466700 / Max: 6467220Min: 6466380 / Avg: 6467956.67 / Max: 6471000Min: 6466480 / Avg: 6467276.67 / Max: 6468160

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 22.67, N = 3SE +/- 46.33, N = 3SE +/- 78.80, N = 3324763324897324743
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9-rc760K120K180K240K300KMin: 324721 / Avg: 324762.67 / Max: 324799Min: 324821 / Avg: 324897.33 / Max: 324981Min: 324589 / Avg: 324743 / Max: 324849

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 56.92, N = 3SE +/- 61.10, N = 3SE +/- 33.94, N = 3304817304775304734
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9-rc750K100K150K200K250KMin: 304755 / Avg: 304817.33 / Max: 304931Min: 304665 / Avg: 304775.33 / Max: 304876Min: 304668 / Avg: 304734.33 / Max: 304780

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 85.05, N = 3SE +/- 15.34, N = 3SE +/- 57.45, N = 3311977311961311955
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9-rc750K100K150K200K250KMin: 311842 / Avg: 311976.67 / Max: 312134Min: 311933 / Avg: 311960.67 / Max: 311986Min: 311855 / Avg: 311955 / Max: 312054

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9-rc71.3M2.6M3.9M5.2M6.5MSE +/- 248.35, N = 3SE +/- 753.68, N = 3SE +/- 98.21, N = 3585072358525005850147
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9-rc71000K2000K3000K4000K5000KMin: 5850470 / Avg: 5850723.33 / Max: 5851220Min: 5851300 / Avg: 5852500 / Max: 5853890Min: 5850020 / Avg: 5850146.67 / Max: 5850340

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.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc78K16K24K32K40KSE +/- 18.21, N = 3SE +/- 40.76, N = 3SE +/- 69.24, N = 33719537152371711. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc76K12K18K24K30KMin: 37167 / Avg: 37194.67 / Max: 37229Min: 37084 / Avg: 37152.33 / Max: 37225Min: 37057 / Avg: 37170.67 / Max: 372961. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc716K32K48K64K80KSE +/- 31.94, N = 3SE +/- 69.44, N = 3SE +/- 53.93, N = 37430474190743181. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc713K26K39K52K65KMin: 74240 / Avg: 74303.67 / Max: 74340Min: 74092 / Avg: 74189.67 / Max: 74324Min: 74233 / Avg: 74318 / Max: 744181. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc720K40K60K80K100KSE +/- 41.37, N = 3SE +/- 28.39, N = 3SE +/- 28.50, N = 38303783056827551. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc714K28K42K56K70KMin: 82993 / Avg: 83037.33 / Max: 83120Min: 82999 / Avg: 83055.67 / Max: 83087Min: 82699 / Avg: 82755.33 / Max: 827911. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KSE +/- 107.38, N = 3SE +/- 114.01, N = 3SE +/- 59.21, N = 31660361658861656441. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KMin: 165870 / Avg: 166036 / Max: 166237Min: 165722 / Avg: 165885.67 / Max: 166105Min: 165574 / Avg: 165644.33 / Max: 1657621. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.021, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 37.5347.5337.492MIN: 7.45 / MAX: 17.56MIN: 7.48 / MAX: 8.98MIN: 7.43 / MAX: 8.251. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.49 / Avg: 7.53 / Max: 7.56Min: 7.52 / Avg: 7.53 / Max: 7.55Min: 7.47 / Avg: 7.49 / Max: 7.511. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9-rc7918273645SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 338.3538.4038.22MIN: 37.95 / MAX: 134.88MIN: 38.08 / MAX: 62.17MIN: 37.93 / MAX: 47.531. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9-rc7816243240Min: 38.12 / Avg: 38.35 / Max: 38.61Min: 38.34 / Avg: 38.4 / Max: 38.44Min: 38.17 / Avg: 38.22 / Max: 38.31. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9-rc71.18692.37383.56074.74765.9345SE +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 35.2355.2755.235MIN: 5.15 / MAX: 7.1MIN: 5.2 / MAX: 6.63MIN: 5.17 / MAX: 6.031. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.22 / Avg: 5.24 / Max: 5.25Min: 5.26 / Avg: 5.28 / Max: 5.3Min: 5.23 / Avg: 5.24 / Max: 5.241. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 36.1996.2376.135MIN: 6.12 / MAX: 8.28MIN: 6.17 / MAX: 7.52MIN: 6.08 / MAX: 6.811. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 6.19 / Avg: 6.2 / Max: 6.22Min: 6.22 / Avg: 6.24 / Max: 6.24Min: 6.13 / Avg: 6.14 / Max: 6.141. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9-rc71020304050SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 344.0944.4844.07MIN: 43.88 / MAX: 54.42MIN: 44.22 / MAX: 54.32MIN: 43.85 / MAX: 53.361. (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.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9-rc7918273645Min: 44.06 / Avg: 44.09 / Max: 44.12Min: 44.36 / Avg: 44.48 / Max: 44.67Min: 43.98 / Avg: 44.07 / Max: 44.151. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 331.7732.0031.46MIN: 31.66 / MAX: 34.11MIN: 31.82 / MAX: 41.36MIN: 31.36 / MAX: 32.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 31.75 / Avg: 31.77 / Max: 31.8Min: 31.94 / Avg: 32 / Max: 32.05Min: 31.44 / Avg: 31.46 / Max: 31.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9-rc7918273645SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 337.3737.2237.04MIN: 37.05 / MAX: 39.02MIN: 37 / MAX: 46.76MIN: 36.71 / MAX: 39.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9-rc7816243240Min: 37.23 / Avg: 37.37 / Max: 37.46Min: 37.15 / Avg: 37.22 / Max: 37.29Min: 36.87 / Avg: 37.04 / Max: 37.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 39.869.889.85MIN: 9.71 / MAX: 11.93MIN: 9.75 / MAX: 19.03MIN: 9.63 / MAX: 11.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 9.82 / Avg: 9.86 / Max: 9.91Min: 9.86 / Avg: 9.88 / Max: 9.91Min: 9.78 / Avg: 9.85 / Max: 9.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 38.118.128.05MIN: 7.99 / MAX: 15.98MIN: 8.03 / MAX: 9.35MIN: 7.91 / MAX: 11.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 8.07 / Avg: 8.11 / Max: 8.14Min: 8.11 / Avg: 8.12 / Max: 8.15Min: 8.01 / Avg: 8.05 / Max: 8.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9-rc70.98331.96662.94993.93324.9165SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.324.374.33MIN: 4.26 / MAX: 4.45MIN: 4.34 / MAX: 6.65MIN: 4.28 / MAX: 4.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 4.29 / Avg: 4.32 / Max: 4.35Min: 4.37 / Avg: 4.37 / Max: 4.38Min: 4.33 / Avg: 4.33 / Max: 4.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.437.417.41MIN: 7.35 / MAX: 7.59MIN: 7.36 / MAX: 7.51MIN: 7.32 / MAX: 8.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.4 / Avg: 7.43 / Max: 7.46Min: 7.4 / Avg: 7.41 / Max: 7.44Min: 7.39 / Avg: 7.41 / Max: 7.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 313.2113.2213.08MIN: 13.11 / MAX: 13.39MIN: 13.15 / MAX: 15.22MIN: 12.97 / MAX: 13.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9-rc748121620Min: 13.16 / Avg: 13.21 / Max: 13.28Min: 13.21 / Avg: 13.22 / Max: 13.23Min: 13.02 / Avg: 13.08 / Max: 13.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9-rc70.360.721.081.441.8SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.601.581.60MIN: 1.57 / MAX: 1.65MIN: 1.57 / MAX: 1.62MIN: 1.58 / MAX: 3.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 1.59 / Avg: 1.6 / Max: 1.6Min: 1.58 / Avg: 1.58 / Max: 1.59Min: 1.59 / Avg: 1.6 / Max: 1.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 330.3530.4230.17MIN: 30.17 / MAX: 40.16MIN: 30.26 / MAX: 33.11MIN: 30.04 / MAX: 32.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 30.31 / Avg: 30.35 / Max: 30.38Min: 30.34 / Avg: 30.42 / Max: 30.49Min: 30.13 / Avg: 30.17 / Max: 30.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3152.70153.28153.66MIN: 152.38 / MAX: 163.34MIN: 152.89 / MAX: 162.54MIN: 153.06 / MAX: 186.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 152.6 / Avg: 152.7 / Max: 152.82Min: 153.14 / Avg: 153.28 / Max: 153.52Min: 153.47 / Avg: 153.66 / Max: 153.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9-rc7816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 334.8535.0634.86MIN: 34.61 / MAX: 37.03MIN: 34.89 / MAX: 44.42MIN: 34.65 / MAX: 47.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 34.76 / Avg: 34.85 / Max: 34.89Min: 35.04 / Avg: 35.06 / Max: 35.08Min: 34.79 / Avg: 34.86 / Max: 34.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 331.5931.8031.80MIN: 31.43 / MAX: 34.01MIN: 31.7 / MAX: 34.06MIN: 31.66 / MAX: 33.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 31.54 / Avg: 31.59 / Max: 31.64Min: 31.8 / Avg: 31.8 / Max: 31.8Min: 31.78 / Avg: 31.8 / Max: 31.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9-rc71428425670SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 363.1963.5763.38MIN: 62.91 / MAX: 73.05MIN: 63.24 / MAX: 96.77MIN: 63.17 / MAX: 64.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9-rc71224364860Min: 63.17 / Avg: 63.19 / Max: 63.23Min: 63.41 / Avg: 63.57 / Max: 63.76Min: 63.33 / Avg: 63.38 / Max: 63.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9-rc71326395265SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 356.4756.5356.12MIN: 56.12 / MAX: 66.01MIN: 56.31 / MAX: 58.43MIN: 55.84 / MAX: 57.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9-rc71122334455Min: 56.32 / Avg: 56.47 / Max: 56.65Min: 56.46 / Avg: 56.53 / Max: 56.64Min: 56.06 / Avg: 56.12 / Max: 56.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9-rc770140210280350SE +/- 0.38, N = 3SE +/- 1.33, N = 3SE +/- 0.05, N = 3316.07319.32315.22MIN: 314.64 / MAX: 322.12MIN: 316.22 / MAX: 322.75MIN: 314.26 / MAX: 316.661. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9-rc760120180240300Min: 315.31 / Avg: 316.07 / Max: 316.55Min: 317.45 / Avg: 319.32 / Max: 321.88Min: 315.16 / Avg: 315.22 / Max: 315.331. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9-rc770140210280350SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3319.25320.76320.91MIN: 318.44 / MAX: 320.42MIN: 319.87 / MAX: 321.67MIN: 320.09 / MAX: 321.781. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9-rc760120180240300Min: 319.11 / Avg: 319.25 / Max: 319.47Min: 320.63 / Avg: 320.76 / Max: 320.87Min: 320.84 / Avg: 320.91 / Max: 320.991. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.4Linux 5.8Linux 5.9-rc79001800270036004500SE +/- 59.81, N = 15SE +/- 52.19, N = 5SE +/- 98.17, N = 153968389339451. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.4Linux 5.8Linux 5.9-rc77001400210028003500Min: 3750 / Avg: 3968.2 / Max: 4639Min: 3792 / Avg: 3893.2 / Max: 4081Min: 3749 / Avg: 3944.8 / Max: 49771. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

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.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 319.7719.8119.86
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.9-rc7510152025Min: 19.72 / Avg: 19.77 / Max: 19.82Min: 19.73 / Avg: 19.81 / Max: 19.92Min: 19.76 / Avg: 19.86 / Max: 19.99

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.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3111.42111.03111.471. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.9-rc720406080100Min: 111.38 / Avg: 111.42 / Max: 111.48Min: 110.96 / Avg: 111.03 / Max: 111.13Min: 111.37 / Avg: 111.47 / Max: 111.561. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.8Linux 5.9-rc7160320480640800SE +/- 0.81, N = 3SE +/- 0.60, N = 3SE +/- 0.86, N = 3717.26719.63718.991. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.8Linux 5.9-rc7130260390520650Min: 715.73 / Avg: 717.26 / Max: 718.46Min: 718.51 / Avg: 719.63 / Max: 720.57Min: 718.09 / Avg: 718.99 / Max: 720.711. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8Linux 5.9-rc748121620SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 314.2513.8413.871. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8Linux 5.9-rc748121620Min: 13.89 / Avg: 14.25 / Max: 14.48Min: 13.69 / Avg: 13.84 / Max: 13.99Min: 13.76 / Avg: 13.87 / Max: 13.921. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.4Linux 5.8Linux 5.9-rc7601201802403002832832841. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9-rc74080120160200SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.49, N = 3187.11187.18187.341. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 186.97 / Avg: 187.11 / Max: 187.26Min: 187.11 / Avg: 187.17 / Max: 187.27Min: 186.76 / Avg: 187.34 / Max: 188.321. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3111.15111.21110.751. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.9-rc720406080100Min: 110.81 / Avg: 111.15 / Max: 111.76Min: 110.95 / Avg: 111.21 / Max: 111.41Min: 110.73 / Avg: 110.75 / Max: 110.781. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 37.9027.9257.9341. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.9 / Avg: 7.9 / Max: 7.91Min: 7.92 / Avg: 7.93 / Max: 7.93Min: 7.93 / Avg: 7.93 / Max: 7.941. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 37.2757.3047.3081. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.27 / Avg: 7.28 / Max: 7.28Min: 7.3 / Avg: 7.3 / Max: 7.31Min: 7.31 / Avg: 7.31 / Max: 7.311. (CXX) g++ options: -O3 -fPIC

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionLinux 5.4Linux 5.8Linux 5.9-rc7918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 339.3839.5639.561. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionLinux 5.4Linux 5.8Linux 5.9-rc7816243240Min: 39.34 / Avg: 39.38 / Max: 39.42Min: 39.52 / Avg: 39.56 / Max: 39.58Min: 39.51 / Avg: 39.56 / Max: 39.641. (CC) gcc options: -lm

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.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.33, N = 4SE +/- 0.06, N = 4SE +/- 0.08, N = 429.4729.8529.751. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 28.49 / Avg: 29.47 / Max: 29.83Min: 29.75 / Avg: 29.85 / Max: 30.02Min: 29.66 / Avg: 29.75 / Max: 29.991. (CC) gcc options: -O2 -std=c99

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9-rc70.69411.38822.08232.77643.4705SE +/- 0.033, N = 14SE +/- 0.039, N = 14SE +/- 0.032, N = 143.0663.0853.077
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 3.03 / Avg: 3.07 / Max: 3.49Min: 3.04 / Avg: 3.08 / Max: 3.6Min: 3.04 / Avg: 3.08 / Max: 3.49

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.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8Linux 5.9-rc74080120160200SE +/- 1.34, N = 3SE +/- 0.68, N = 3SE +/- 1.07, N = 3185.73171.42171.431. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 183.21 / Avg: 185.73 / Max: 187.78Min: 170.11 / Avg: 171.42 / Max: 172.42Min: 170 / Avg: 171.43 / Max: 173.521. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.219.269.241. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.8Linux 5.9-rc73691215Min: 9.21 / Avg: 9.21 / Max: 9.22Min: 9.25 / Avg: 9.26 / Max: 9.27Min: 9.23 / Avg: 9.24 / Max: 9.251. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.8212.8312.841. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.8Linux 5.9-rc748121620Min: 12.8 / Avg: 12.82 / Max: 12.83Min: 12.83 / Avg: 12.83 / Max: 12.83Min: 12.82 / Avg: 12.84 / Max: 12.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 384.2284.2984.191. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.8Linux 5.9-rc71632486480Min: 84.21 / Avg: 84.22 / Max: 84.23Min: 84.26 / Avg: 84.29 / Max: 84.36Min: 84.17 / Avg: 84.19 / Max: 84.21. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.8Linux 5.9-rc7140280420560700SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3666.43667.32666.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.8Linux 5.9-rc7120240360480600Min: 666.29 / Avg: 666.43 / Max: 666.55Min: 666.9 / Avg: 667.32 / Max: 667.56Min: 666.58 / Avg: 666.6 / Max: 666.651. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9-rc71326395265SE +/- 0.11, N = 3SE +/- 0.58, N = 8SE +/- 0.39, N = 354.5256.9457.58
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9-rc71122334455Min: 54.33 / Avg: 54.52 / Max: 54.7Min: 54.27 / Avg: 56.94 / Max: 58.69Min: 57.1 / Avg: 57.58 / Max: 58.36

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 1.03, N = 3SE +/- 2.32, N = 12SE +/- 5.00, N = 5117.86124.26124.41
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9-rc720406080100Min: 116.61 / Avg: 117.86 / Max: 119.9Min: 115.71 / Avg: 124.26 / Max: 142.2Min: 117.17 / Avg: 124.41 / Max: 143.94

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 325.9725.92
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8612182430Min: 25.86 / Avg: 25.97 / Max: 26.18Min: 25.86 / Avg: 25.92 / Max: 25.98

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.81.18352.3673.55054.7345.9175SE +/- 0.05, N = 9SE +/- 0.09, N = 35.235.26
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8246810Min: 5.07 / Avg: 5.23 / Max: 5.51Min: 5.08 / Avg: 5.26 / Max: 5.38

81 Results Shown

MPV:
  Big Buck Bunny Sunflower 4K - Software Only
  Big Buck Bunny Sunflower 1080p - Software Only
AOM AV1:
  Speed 0 Two-Pass
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
BYTE Unix Benchmark
Zstd Compression:
  3
  19
FFTE
LibRaw
LeelaChessZero:
  BLAS
  Eigen
  Rand
GROMACS
LAMMPS Molecular Dynamics Simulator
Hierarchical INTegration
GLmark2
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
  1024 - 10000 - 2,5000,1 - 10000
NAMD
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
OpenCV
Dolfyn
Timed HMMer Search
Incompact3D
Timed MAFFT Alignment
Monte Carlo Simulations of Ionised Nebulae
libavif avifenc:
  0
  2
  8
  10
dcraw
eSpeak-NG Speech Engine
System GZIP Decompression
Apache CouchDB
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression

Linux 5.4

Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, 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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 27 September 2020 20:14 by user phoronix.

Linux 5.8

Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.8.0-050800-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, 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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 28 September 2020 06:05 by user phoronix.

Linux 5.9-rc7

Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, 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 -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.18rc1 + Python 3.8.2
Security Notes: 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

Testing initiated at 28 September 2020 13:50 by user phoronix.