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 .
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 compilebench: Initial Create compilebench: Read Compiled Tree hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU coremark: CoreMark Size 666 - Iterations Per Second asmfish: 1024 Hash Memory, 26 Depth build-ffmpeg: Time To Compile sqlite-speedtest: Timed Time - Size 1,000 phpbench: PHP Benchmark Suite 1 2 3 1763.65 456.64 2701.13 117.809 11.331 6.11794 13.0108 3.67769 2.53499 25.0499 7.20243 9.33947 19.2421 9.14533 7.80879 4764.32 2769.71 4774.04 2764.10 4.59041 4773.39 2771.07 5.18673 167535.949059 14534332 97.024 69.778 680606 1680.28 455.91 2656.93 117.751 11.291 6.07429 12.9706 3.67910 2.52914 25.0458 7.21840 9.32873 19.1267 9.13444 7.77972 4765.69 2768.84 4770.81 2769.92 4.59102 4776.65 2768.56 5.12277 162320.716961 14384571 1629.56 464.63 2692.23 117.712 11.311 6.05641 12.7887 3.67563 2.48908 24.8945 7.18729 9.29262 18.7699 9.14041 7.77705 4759.10 2765.50 4783.74 2768.11 4.52540 4762.84 2769.08 5.16122 165907.237796 14382845 97.121 70.340 682487 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
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
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
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
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: 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
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
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: 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: 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_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: 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: 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
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
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
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: 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: 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: 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: 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
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
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
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
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
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
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
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
Phoronix Test Suite v10.8.4