Core i5 9400F Pre Xmas

Intel Core i5-9400F testing with a MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS) and MSI NVIDIA NV106 1GB on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012134-PTS-COREI59462
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Core i5 9400F Pre XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i5-9400F @ 4.10GHz (6 Cores)MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS)Intel Cannon Lake PCH16GB256GB SAMSUNG MZVPW256HEGL-000H7MSI NVIDIA NV106 1GBRealtek ALC887-VDG237HLIntel I219-VUbuntu 20.045.9.0-050900rc7daily20200928-generic (x86_64) 20200927GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.74.3 Mesa 20.0.2GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler 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 Disk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xca - Thermald 1.9.1 Python Details- Python 3.8.2Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Vulnerable: No microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%101%102%102%103%CoremarkCompile BenchasmFishoneDNNTimed MAFFT AlignmentTimed HMMer Search

Core i5 9400F Pre Xmascompilebench: Compilecompilebench: Initial Createcompilebench: Read Compiled Treehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondasmfish: 1024 Hash Memory, 26 Depthbuild-ffmpeg: Time To Compilesqlite-speedtest: Timed Time - Size 1,000phpbench: PHP Benchmark Suite1231763.65456.642701.13117.80911.3316.1179413.01083.677692.5349925.04997.202439.3394719.24219.145337.808794764.322769.714774.042764.104.590414773.392771.075.18673167535.9490591453433297.02469.7786806061680.28455.912656.93117.75111.2916.0742912.97063.679102.5291425.04587.218409.3287319.12679.134447.779724765.692768.844770.812769.924.591024776.652768.565.12277162320.716961143845711629.56464.632692.23117.71211.3116.0564112.78873.675632.4890824.89457.187299.2926218.76999.140417.777054759.102765.504783.742768.114.525404762.842769.085.16122165907.2377961438284597.12170.340682487OpenBenchmarking.org

Compile Bench

Compilebench tries to age a filesystem by simulating some of the disk IO common in creating, compiling, patching, stating and reading kernel trees. It indirectly measures how well filesystems can maintain directory locality as the disk fills up and directories age. This current test is setup to use the makej mode with 10 initial directories Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile123400800120016002000SE +/- 5.08, N = 3SE +/- 16.85, N = 8SE +/- 17.94, N = 31763.651680.281629.56
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Compile12330060090012001500Min: 1753.63 / Avg: 1763.65 / Max: 1770.11Min: 1615.88 / Avg: 1680.28 / Max: 1761.02Min: 1596.19 / Avg: 1629.56 / Max: 1657.67

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create123100200300400500SE +/- 4.22, N = 3SE +/- 5.42, N = 3SE +/- 5.54, N = 3456.64455.91464.63
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial Create12380160240320400Min: 448.88 / Avg: 456.64 / Max: 463.4Min: 449.5 / Avg: 455.91 / Max: 466.69Min: 456.78 / Avg: 464.63 / Max: 475.32

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1236001200180024003000SE +/- 8.43, N = 3SE +/- 26.32, N = 3SE +/- 9.50, N = 32701.132656.932692.23
OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled Tree1235001000150020002500Min: 2684.27 / Avg: 2701.13 / Max: 2709.56Min: 2630.61 / Avg: 2656.93 / Max: 2709.56Min: 2682.73 / Avg: 2692.23 / Max: 2711.24

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 Search123306090120150SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3117.81117.75117.711. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 117.74 / Avg: 117.81 / Max: 117.91Min: 117.73 / Avg: 117.75 / Max: 117.77Min: 117.66 / Avg: 117.71 / Max: 117.811. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 RNA1233691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.3311.2911.311. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 11.24 / Avg: 11.33 / Max: 11.38Min: 11.26 / Avg: 11.29 / Max: 11.35Min: 11.27 / Avg: 11.31 / Max: 11.361. (CC) gcc options: -std=c99 -O3 -lm -lpthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.01319, N = 3SE +/- 0.02715, N = 3SE +/- 0.00772, N = 36.117946.074296.05641MIN: 5.94MIN: 5.92MIN: 5.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810Min: 6.09 / Avg: 6.12 / Max: 6.14Min: 6.02 / Avg: 6.07 / Max: 6.11Min: 6.05 / Avg: 6.06 / Max: 6.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 313.0112.9712.79MIN: 12.81MIN: 12.79MIN: 12.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620Min: 12.93 / Avg: 13.01 / Max: 13.06Min: 12.87 / Avg: 12.97 / Max: 13.02Min: 12.71 / Avg: 12.79 / Max: 12.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.82781.65562.48343.31124.139SE +/- 0.01670, N = 3SE +/- 0.01502, N = 3SE +/- 0.01718, N = 33.677693.679103.67563MIN: 3.62MIN: 3.62MIN: 3.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.64 / Avg: 3.68 / Max: 3.7Min: 3.65 / Avg: 3.68 / Max: 3.7Min: 3.64 / Avg: 3.68 / Max: 3.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.57041.14081.71122.28162.852SE +/- 0.01532, N = 3SE +/- 0.01625, N = 3SE +/- 0.01640, N = 32.534992.529142.48908MIN: 2.47MIN: 2.47MIN: 2.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.5 / Avg: 2.53 / Max: 2.55Min: 2.5 / Avg: 2.53 / Max: 2.55Min: 2.46 / Avg: 2.49 / Max: 2.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123612182430SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 325.0525.0524.89MIN: 24.86MIN: 24.49MIN: 24.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123612182430Min: 25.02 / Avg: 25.05 / Max: 25.1Min: 25 / Avg: 25.05 / Max: 25.14Min: 24.88 / Avg: 24.89 / Max: 24.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU123246810SE +/- 0.01462, N = 3SE +/- 0.02868, N = 3SE +/- 0.01505, N = 37.202437.218407.18729MIN: 7.13MIN: 7.12MIN: 7.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU1233691215Min: 7.17 / Avg: 7.2 / Max: 7.22Min: 7.19 / Avg: 7.22 / Max: 7.28Min: 7.16 / Avg: 7.19 / Max: 7.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.04085, N = 3SE +/- 0.04411, N = 3SE +/- 0.03990, N = 39.339479.328739.29262MIN: 9.2MIN: 9.18MIN: 9.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215Min: 9.29 / Avg: 9.34 / Max: 9.42Min: 9.28 / Avg: 9.33 / Max: 9.42Min: 9.22 / Avg: 9.29 / Max: 9.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123510152025SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 319.2419.1318.77MIN: 18.92MIN: 18.69MIN: 18.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123510152025Min: 19.2 / Avg: 19.24 / Max: 19.33Min: 19 / Avg: 19.13 / Max: 19.27Min: 18.7 / Avg: 18.77 / Max: 18.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215SE +/- 0.01456, N = 3SE +/- 0.01222, N = 3SE +/- 0.01780, N = 39.145339.134449.14041MIN: 9.09MIN: 9.07MIN: 9.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 9.12 / Avg: 9.15 / Max: 9.17Min: 9.11 / Avg: 9.13 / Max: 9.16Min: 9.1 / Avg: 9.14 / Max: 9.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.05479, N = 3SE +/- 0.05819, N = 3SE +/- 0.00587, N = 37.808797.779727.77705MIN: 7.46MIN: 7.39MIN: 7.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 7.75 / Avg: 7.81 / Max: 7.92Min: 7.72 / Avg: 7.78 / Max: 7.9Min: 7.77 / Avg: 7.78 / Max: 7.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12310002000300040005000SE +/- 9.71, N = 3SE +/- 3.00, N = 3SE +/- 10.71, N = 34764.324765.694759.10MIN: 4633.98MIN: 4639.08MIN: 4626.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1238001600240032004000Min: 4745.04 / Avg: 4764.32 / Max: 4775.94Min: 4759.8 / Avg: 4765.69 / Max: 4769.64Min: 4738.87 / Avg: 4759.1 / Max: 4775.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1236001200180024003000SE +/- 1.31, N = 3SE +/- 2.80, N = 3SE +/- 2.54, N = 32769.712768.842765.50MIN: 2703.72MIN: 2700.31MIN: 2701.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1235001000150020002500Min: 2767.66 / Avg: 2769.71 / Max: 2772.14Min: 2764.21 / Avg: 2768.84 / Max: 2773.87Min: 2760.42 / Avg: 2765.5 / Max: 2768.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12310002000300040005000SE +/- 4.27, N = 3SE +/- 1.99, N = 3SE +/- 21.79, N = 34774.044770.814783.74MIN: 4658.34MIN: 4654.48MIN: 4642.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU1238001600240032004000Min: 4766.25 / Avg: 4774.04 / Max: 4780.96Min: 4766.83 / Avg: 4770.81 / Max: 4772.86Min: 4759.12 / Avg: 4783.74 / Max: 4827.21. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1236001200180024003000SE +/- 6.39, N = 3SE +/- 1.89, N = 3SE +/- 2.30, N = 32764.102769.922768.11MIN: 2689.32MIN: 2702.81MIN: 2700.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1235001000150020002500Min: 2751.55 / Avg: 2764.1 / Max: 2772.47Min: 2766.47 / Avg: 2769.92 / Max: 2772.99Min: 2763.56 / Avg: 2768.11 / Max: 2770.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU1231.0332.0663.0994.1325.165SE +/- 0.01066, N = 3SE +/- 0.00856, N = 3SE +/- 0.01440, N = 34.590414.591024.52540MIN: 4.52MIN: 4.51MIN: 4.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 4.57 / Avg: 4.59 / Max: 4.6Min: 4.57 / Avg: 4.59 / Max: 4.6Min: 4.5 / Avg: 4.53 / Max: 4.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12310002000300040005000SE +/- 5.41, N = 3SE +/- 10.46, N = 3SE +/- 2.03, N = 34773.394776.654762.84MIN: 4649.44MIN: 4645.32MIN: 4646.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000Min: 4763.03 / Avg: 4773.39 / Max: 4781.26Min: 4759.66 / Avg: 4776.65 / Max: 4795.71Min: 4759.04 / Avg: 4762.84 / Max: 47661. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1236001200180024003000SE +/- 2.08, N = 3SE +/- 1.29, N = 3SE +/- 2.54, N = 32771.072768.562769.08MIN: 2702.7MIN: 2702.09MIN: 2697.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1235001000150020002500Min: 2767.91 / Avg: 2771.07 / Max: 2775Min: 2766 / Avg: 2768.56 / Max: 2770.12Min: 2764 / Avg: 2769.08 / Max: 2771.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1231.1672.3343.5014.6685.835SE +/- 0.01616, N = 3SE +/- 0.01102, N = 3SE +/- 0.01546, N = 35.186735.122775.16122MIN: 5.06MIN: 4.91MIN: 4.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810Min: 5.15 / Avg: 5.19 / Max: 5.21Min: 5.1 / Avg: 5.12 / Max: 5.14Min: 5.14 / Avg: 5.16 / Max: 5.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12340K80K120K160K200KSE +/- 1636.69, N = 15SE +/- 1918.03, N = 3SE +/- 1800.22, N = 15167535.95162320.72165907.241. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second12330K60K90K120K150KMin: 149569.99 / Avg: 167535.95 / Max: 174990.89Min: 159098.44 / Avg: 162320.72 / Max: 165734.41Min: 151438.67 / Avg: 165907.24 / Max: 175631.171. (CC) gcc options: -O2 -lrt" -lrt

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1233M6M9M12M15MSE +/- 47938.84, N = 3SE +/- 28759.66, N = 3SE +/- 67397.44, N = 3145343321438457114382845
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth1233M6M9M12M15MMin: 14444939 / Avg: 14534332.33 / Max: 14609046Min: 14345394 / Avg: 14384571.33 / Max: 14440632Min: 14252599 / Avg: 14382844.67 / Max: 14478039

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1320406080100SE +/- 0.03, N = 3SE +/- 0.10, N = 397.0297.12
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile1320406080100Min: 96.97 / Avg: 97.02 / Max: 97.09Min: 96.97 / Avg: 97.12 / Max: 97.32

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000131632486480SE +/- 0.16, N = 3SE +/- 0.14, N = 369.7870.341. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000131428425670Min: 69.45 / Avg: 69.78 / Max: 69.96Min: 70.07 / Avg: 70.34 / Max: 70.541. (CC) gcc options: -O2 -ldl -lz -lpthread

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite13150K300K450K600K750KSE +/- 1231.27, N = 3SE +/- 191.73, N = 3680606682487
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite13120K240K360K480K600KMin: 678326 / Avg: 680605.67 / Max: 682552Min: 682270 / Avg: 682486.67 / Max: 682869