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.
HTML result view exported from: https://openbenchmarking.org/result/2012134-PTS-COREI59462&grs&rdt .
Core i5 9400F Pre Xmas Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 1 2 3 Intel Core i5-9400F @ 4.10GHz (6 Cores) MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS) Intel Cannon Lake PCH 16GB 256GB SAMSUNG MZVPW256HEGL-000H7 MSI NVIDIA NV106 1GB Realtek ALC887-VD G237HL Intel I219-V Ubuntu 20.04 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927 GNOME Shell 3.36.0 X Server 1.20.7 modesetting 1.20.7 4.3 Mesa 20.0.2 GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Disk Details - NONE / errors=remount-ro,relatime,rw / Block Size: 4096 Processor Details - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xca - Thermald 1.9.1 Python Details - Python 3.8.2 Security Details - itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT 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
Core i5 9400F Pre Xmas compilebench: Compile coremark: CoreMark Size 666 - Iterations Per Second onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU compilebench: Initial Create onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - f32 - CPU compilebench: Read Compiled Tree onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU asmfish: 1024 Hash Memory, 26 Depth onednn: IP Shapes 1D - f32 - CPU sqlite-speedtest: Timed Time - Size 1,000 onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU mafft: Multiple Sequence Alignment - LSU RNA onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU phpbench: PHP Benchmark Suite onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU build-ffmpeg: Time To Compile onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU hmmer: Pfam Database Search 1 2 3 1763.65 167535.949059 19.2421 456.64 2.53499 13.0108 2701.13 4.59041 5.18673 14534332 6.11794 69.778 25.0499 9.33947 7.20243 7.80879 11.331 4773.39 680606 4774.04 2764.10 2769.71 4764.32 9.14533 97.024 3.67769 2771.07 117.809 1680.28 162320.716961 19.1267 455.91 2.52914 12.9706 2656.93 4.59102 5.12277 14384571 6.07429 25.0458 9.32873 7.21840 7.77972 11.291 4776.65 4770.81 2769.92 2768.84 4765.69 9.13444 3.67910 2768.56 117.751 1629.56 165907.237796 18.7699 464.63 2.48908 12.7887 2692.23 4.52540 5.16122 14382845 6.05641 70.340 24.8945 9.29262 7.18729 7.77705 11.311 4762.84 682487 4783.74 2768.11 2765.50 4759.10 9.14041 97.121 3.67563 2769.08 117.712 OpenBenchmarking.org
Compile Bench Test: Compile OpenBenchmarking.org MB/s, More Is Better Compile Bench 0.6 Test: Compile 1 2 3 400 800 1200 1600 2000 SE +/- 5.08, N = 3 SE +/- 16.85, N = 8 SE +/- 17.94, N = 3 1763.65 1680.28 1629.56
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second 1 2 3 40K 80K 120K 160K 200K SE +/- 1636.69, N = 15 SE +/- 1918.03, N = 3 SE +/- 1800.22, N = 15 167535.95 162320.72 165907.24 1. (CC) gcc options: -O2 -lrt" -lrt
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 1 2 3 5 10 15 20 25 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 SE +/- 0.04, N = 3 19.24 19.13 18.77 MIN: 18.92 MIN: 18.69 MIN: 18.42 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Compile Bench Test: Initial Create OpenBenchmarking.org MB/s, More Is Better Compile Bench 0.6 Test: Initial Create 1 2 3 100 200 300 400 500 SE +/- 4.22, N = 3 SE +/- 5.42, N = 3 SE +/- 5.54, N = 3 456.64 455.91 464.63
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.5704 1.1408 1.7112 2.2816 2.852 SE +/- 0.01532, N = 3 SE +/- 0.01625, N = 3 SE +/- 0.01640, N = 3 2.53499 2.52914 2.48908 MIN: 2.47 MIN: 2.47 MIN: 2.41 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 1 2 3 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.05, N = 3 13.01 12.97 12.79 MIN: 12.81 MIN: 12.79 MIN: 12.59 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Compile Bench Test: Read Compiled Tree OpenBenchmarking.org MB/s, More Is Better Compile Bench 0.6 Test: Read Compiled Tree 1 2 3 600 1200 1800 2400 3000 SE +/- 8.43, N = 3 SE +/- 26.32, N = 3 SE +/- 9.50, N = 3 2701.13 2656.93 2692.23
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 1 2 3 1.033 2.066 3.099 4.132 5.165 SE +/- 0.01066, N = 3 SE +/- 0.00856, N = 3 SE +/- 0.01440, N = 3 4.59041 4.59102 4.52540 MIN: 4.52 MIN: 4.51 MIN: 4.45 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 1 2 3 1.167 2.334 3.501 4.668 5.835 SE +/- 0.01616, N = 3 SE +/- 0.01102, N = 3 SE +/- 0.01546, N = 3 5.18673 5.12277 5.16122 MIN: 5.06 MIN: 4.91 MIN: 4.99 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth 1 2 3 3M 6M 9M 12M 15M SE +/- 47938.84, N = 3 SE +/- 28759.66, N = 3 SE +/- 67397.44, N = 3 14534332 14384571 14382845
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.01319, N = 3 SE +/- 0.02715, N = 3 SE +/- 0.00772, N = 3 6.11794 6.07429 6.05641 MIN: 5.94 MIN: 5.92 MIN: 5.87 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
SQLite Speedtest Timed Time - Size 1,000 OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 1 3 16 32 48 64 80 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 69.78 70.34 1. (CC) gcc options: -O2 -ldl -lz -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 1 2 3 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 25.05 25.05 24.89 MIN: 24.86 MIN: 24.49 MIN: 24.54 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 1 2 3 3 6 9 12 15 SE +/- 0.04085, N = 3 SE +/- 0.04411, N = 3 SE +/- 0.03990, N = 3 9.33947 9.32873 9.29262 MIN: 9.2 MIN: 9.18 MIN: 9.17 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.01462, N = 3 SE +/- 0.02868, N = 3 SE +/- 0.01505, N = 3 7.20243 7.21840 7.18729 MIN: 7.13 MIN: 7.12 MIN: 7.11 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.05479, N = 3 SE +/- 0.05819, N = 3 SE +/- 0.00587, N = 3 7.80879 7.77972 7.77705 MIN: 7.46 MIN: 7.39 MIN: 7.41 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA 1 2 3 3 6 9 12 15 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 11.33 11.29 11.31 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 1000 2000 3000 4000 5000 SE +/- 5.41, N = 3 SE +/- 10.46, N = 3 SE +/- 2.03, N = 3 4773.39 4776.65 4762.84 MIN: 4649.44 MIN: 4645.32 MIN: 4646.49 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
PHPBench PHP Benchmark Suite OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite 1 3 150K 300K 450K 600K 750K SE +/- 1231.27, N = 3 SE +/- 191.73, N = 3 680606 682487
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 1 2 3 1000 2000 3000 4000 5000 SE +/- 4.27, N = 3 SE +/- 1.99, N = 3 SE +/- 21.79, N = 3 4774.04 4770.81 4783.74 MIN: 4658.34 MIN: 4654.48 MIN: 4642.32 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 1 2 3 600 1200 1800 2400 3000 SE +/- 6.39, N = 3 SE +/- 1.89, N = 3 SE +/- 2.30, N = 3 2764.10 2769.92 2768.11 MIN: 2689.32 MIN: 2702.81 MIN: 2700.18 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 1 2 3 600 1200 1800 2400 3000 SE +/- 1.31, N = 3 SE +/- 2.80, N = 3 SE +/- 2.54, N = 3 2769.71 2768.84 2765.50 MIN: 2703.72 MIN: 2700.31 MIN: 2701.39 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 1 2 3 1000 2000 3000 4000 5000 SE +/- 9.71, N = 3 SE +/- 3.00, N = 3 SE +/- 10.71, N = 3 4764.32 4765.69 4759.10 MIN: 4633.98 MIN: 4639.08 MIN: 4626.69 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 1 2 3 3 6 9 12 15 SE +/- 0.01456, N = 3 SE +/- 0.01222, N = 3 SE +/- 0.01780, N = 3 9.14533 9.13444 9.14041 MIN: 9.09 MIN: 9.07 MIN: 9.09 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile 1 3 20 40 60 80 100 SE +/- 0.03, N = 3 SE +/- 0.10, N = 3 97.02 97.12
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.8278 1.6556 2.4834 3.3112 4.139 SE +/- 0.01670, N = 3 SE +/- 0.01502, N = 3 SE +/- 0.01718, N = 3 3.67769 3.67910 3.67563 MIN: 3.62 MIN: 3.62 MIN: 3.62 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 600 1200 1800 2400 3000 SE +/- 2.08, N = 3 SE +/- 1.29, N = 3 SE +/- 2.54, N = 3 2771.07 2768.56 2769.08 MIN: 2702.7 MIN: 2702.09 MIN: 2697.12 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 1 2 3 30 60 90 120 150 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 117.81 117.75 117.71 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Phoronix Test Suite v10.8.4