Xeon E3 1280 v5 m Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2103199-IB-XEONE312846&sro&grs .
Xeon E3 1280 v5 m Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution 1 2 3 Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads) MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) Intel Xeon E3-1200 v5/E3-1500 32GB 256GB TOSHIBA RD400 ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP Realtek ALC1150 VA2431 Intel I219-V Ubuntu 20.04 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825 GNOME Shell 3.36.4 X Server 1.20.9 4.5 Mesa 20.0.8 (LLVM 10.0.0) GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise 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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: intel_pstate powersave - CPU Microcode: 0xe2 - Thermald 1.9.1 Python Details - Python 3.8.5 Security Details - itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Xeon E3 1280 v5 m onednn: IP Shapes 3D - u8s8f32 - CPU onednn: IP Shapes 3D - f32 - CPU mnn: SqueezeNetV1.0 mnn: inception-v3 mnn: resnet-v2-50 mnn: mobilenet-v1-1.0 sysbench: RAM / Memory stockfish: Total Time mnn: MobileNetV2_224 onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: IP Shapes 1D - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU aom-av1: Speed 6 Realtime aom-av1: Speed 6 Two-Pass simdjson: PartialTweets aom-av1: Speed 4 Two-Pass svt-vp9: Visual Quality Optimized - Bosphorus 1080p simdjson: DistinctUserID astcenc: Medium svt-vp9: VMAF Optimized - Bosphorus 1080p onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU basis: ETC1S aom-av1: Speed 8 Realtime build-mesa: Time To Compile onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU incompact3d: input.i3d 129 Cells Per Direction svt-hevc: 7 - Bosphorus 1080p sysbench: CPU svt-hevc: 10 - Bosphorus 1080p basis: UASTC Level 0 onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU incompact3d: input.i3d 193 Cells Per Direction astcenc: Thorough onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Training - f32 - CPU basis: UASTC Level 3 svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p astcenc: Exhaustive basis: UASTC Level 2 build-nodejs: Time To Compile svt-hevc: 1 - Bosphorus 1080p aom-av1: Speed 0 Two-Pass simdjson: LargeRand simdjson: Kostya 1 2 3 3.28942 12.2753 7.550 55.425 45.714 4.577 16690.54 10343841 4.033 14.4010 5.42817 4.77871 7.98948 14.4552 8.07519 12.31 9.87 3.52 3.79 69.82 3.99 8.9180 87.85 7395.13 5.91706 36.774 62.44 126.263 3948.98 20.9020 59.7731183 47.85 7854.28 101.85 11.006 20.4976 3.65702 7393.22 203.088511 33.0108 3952.65 3955.37 7395.55 144.169 88.01 256.2135 72.898 1106.502 3.08 0.16 0.88 2.36 3.28091 12.1013 7.479 54.835 45.354 4.545 16726.66 10338531 4.011 14.5108 5.42101 4.76344 8.01298 14.4014 8.10192 12.33 9.86 3.53 3.79 70.00 3.98 8.9380 87.66 7396.46 5.90636 36.835 62.54 126.186 3955.17 20.9333 59.8612671 47.78 7845.28 101.85 10.997 20.5233 3.66132 7401.56 202.932215 32.9899 3952.08 3954.96 7399.68 144.079 88.04 256.0918 72.911 1106.636 3.08 0.16 0.88 2.36 3.20399 12.0587 7.458 55.042 45.280 4.534 16845.49 10254227 4.001 14.4641 5.38817 4.78576 7.97862 14.4296 8.08423 12.35 9.84 3.52 3.80 69.87 3.98 8.9296 87.74 7408.91 5.90709 36.839 62.45 126.386 3951.90 20.9031 59.8264809 47.79 7843.34 101.98 10.992 20.5150 3.65956 7396.59 203.135991 33.0202 3955.00 3957.84 7394.30 144.079 88.06 256.1716 72.894 1106.682 3.08 0.16 0.88 2.36 OpenBenchmarking.org
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.7401 1.4802 2.2203 2.9604 3.7005 SE +/- 0.00631, N = 3 SE +/- 0.01431, N = 3 SE +/- 0.00597, N = 3 3.28942 3.28091 3.20399 MIN: 3.22 MIN: 3.2 MIN: 3.13 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 1 2 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 12.28 12.10 12.06 MIN: 12.09 MIN: 11.78 MIN: 11.91 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: SqueezeNetV1.0 1 2 3 2 4 6 8 10 SE +/- 0.015, N = 3 SE +/- 0.012, N = 3 SE +/- 0.011, N = 3 7.550 7.479 7.458 MIN: 7.38 / MAX: 30.78 MIN: 7.4 / MAX: 11.93 MIN: 7.38 / MAX: 29.38 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: inception-v3 1 2 3 12 24 36 48 60 SE +/- 0.21, N = 3 SE +/- 0.49, N = 3 SE +/- 0.56, N = 3 55.43 54.84 55.04 MIN: 54.13 / MAX: 79.1 MIN: 53.62 / MAX: 78.53 MIN: 53.69 / MAX: 79.04 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: resnet-v2-50 1 2 3 10 20 30 40 50 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.14, N = 3 45.71 45.35 45.28 MIN: 44.4 / MAX: 74.55 MIN: 45.03 / MAX: 69.72 MIN: 44.97 / MAX: 67.28 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: mobilenet-v1-1.0 1 2 3 1.0298 2.0596 3.0894 4.1192 5.149 SE +/- 0.013, N = 3 SE +/- 0.006, N = 3 SE +/- 0.005, N = 3 4.577 4.545 4.534 MIN: 4.48 / MAX: 26.26 MIN: 4.48 / MAX: 28.03 MIN: 4.49 / MAX: 8.91 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Sysbench Test: RAM / Memory OpenBenchmarking.org MiB/sec, More Is Better Sysbench 1.0.20 Test: RAM / Memory 1 2 3 4K 8K 12K 16K 20K SE +/- 100.94, N = 3 SE +/- 70.80, N = 3 SE +/- 83.93, N = 3 16690.54 16726.66 16845.49 1. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 13 Total Time 1 2 3 2M 4M 6M 8M 10M SE +/- 62662.98, N = 3 SE +/- 5126.49, N = 3 SE +/- 48708.15, N = 3 10343841 10338531 10254227 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.3 Model: MobileNetV2_224 1 2 3 0.9074 1.8148 2.7222 3.6296 4.537 SE +/- 0.014, N = 3 SE +/- 0.012, N = 3 SE +/- 0.018, N = 3 4.033 4.011 4.001 MIN: 3.94 / MAX: 25.54 MIN: 3.92 / MAX: 27.37 MIN: 3.91 / MAX: 27.34 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 1 2 3 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 14.40 14.51 14.46 MIN: 14.25 MIN: 14.31 MIN: 14.29 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 1 2 3 1.2213 2.4426 3.6639 4.8852 6.1065 SE +/- 0.00412, N = 3 SE +/- 0.00660, N = 3 SE +/- 0.00691, N = 3 5.42817 5.42101 5.38817 MIN: 5.36 MIN: 5.36 MIN: 5.33 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 1 2 3 1.0768 2.1536 3.2304 4.3072 5.384 SE +/- 0.01143, N = 3 SE +/- 0.00463, N = 3 SE +/- 0.01370, N = 3 4.77871 4.76344 4.78576 MIN: 4.73 MIN: 4.73 MIN: 4.73 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.01467, N = 3 SE +/- 0.02581, N = 3 SE +/- 0.00688, N = 3 7.98948 8.01298 7.97862 MIN: 7.81 MIN: 7.85 MIN: 7.79 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 1 2 3 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.02, N = 3 14.46 14.40 14.43 MIN: 10.63 MIN: 10.62 MIN: 10.61 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 1 2 3 2 4 6 8 10 SE +/- 0.01132, N = 3 SE +/- 0.01834, N = 3 SE +/- 0.01391, N = 3 8.07519 8.10192 8.08423 MIN: 8.01 MIN: 8.04 MIN: 8.03 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
AOM AV1 Encoder Mode: Speed 6 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 6 Realtime 1 2 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 12.31 12.33 12.35 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
AOM AV1 Encoder Mode: Speed 6 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 6 Two-Pass 1 2 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 9.87 9.86 9.84 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: PartialTweets 1 2 3 0.7943 1.5886 2.3829 3.1772 3.9715 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.52 3.53 3.52 1. (CXX) g++ options: -O3 -pthread
AOM AV1 Encoder Mode: Speed 4 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 4 Two-Pass 1 2 3 0.855 1.71 2.565 3.42 4.275 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.79 3.79 3.80 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
SVT-VP9 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p 1 2 3 16 32 48 64 80 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 69.82 70.00 69.87 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: DistinctUserID 1 2 3 0.8978 1.7956 2.6934 3.5912 4.489 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 3.99 3.98 3.98 1. (CXX) g++ options: -O3 -pthread
ASTC Encoder Preset: Medium OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.4 Preset: Medium 1 2 3 2 4 6 8 10 SE +/- 0.0175, N = 3 SE +/- 0.0040, N = 3 SE +/- 0.0096, N = 3 8.9180 8.9380 8.9296 1. (CXX) g++ options: -O3 -flto -pthread
SVT-VP9 Tuning: VMAF Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p 1 2 3 20 40 60 80 100 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 SE +/- 0.04, N = 3 87.85 87.66 87.74 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 1600 3200 4800 6400 8000 SE +/- 2.52, N = 3 SE +/- 5.16, N = 3 SE +/- 15.57, N = 3 7395.13 7396.46 7408.91 MIN: 7381.08 MIN: 7381.2 MIN: 7383.82 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 1 2 3 1.3313 2.6626 3.9939 5.3252 6.6565 SE +/- 0.00433, N = 3 SE +/- 0.00128, N = 3 SE +/- 0.00186, N = 3 5.91706 5.90636 5.90709 MIN: 5.87 MIN: 5.87 MIN: 5.87 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Basis Universal Settings: ETC1S OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: ETC1S 1 2 3 8 16 24 32 40 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 36.77 36.84 36.84 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
AOM AV1 Encoder Mode: Speed 8 Realtime OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 8 Realtime 1 2 3 14 28 42 56 70 SE +/- 0.16, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 62.44 62.54 62.45 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile 1 2 3 30 60 90 120 150 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 126.26 126.19 126.39
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 1 2 3 800 1600 2400 3200 4000 SE +/- 1.93, N = 3 SE +/- 7.15, N = 3 SE +/- 1.51, N = 3 3948.98 3955.17 3951.90 MIN: 3941.23 MIN: 3940.03 MIN: 3944.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 1 2 3 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 20.90 20.93 20.90 MIN: 20.84 MIN: 20.82 MIN: 20.81 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Xcompact3d Incompact3d Input: input.i3d 129 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction 1 2 3 13 26 39 52 65 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 59.77 59.86 59.83 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
SVT-HEVC Tuning: 7 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p 1 2 3 11 22 33 44 55 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 47.85 47.78 47.79 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Sysbench Test: CPU OpenBenchmarking.org Events Per Second, More Is Better Sysbench 1.0.20 Test: CPU 1 2 3 2K 4K 6K 8K 10K SE +/- 0.37, N = 3 SE +/- 0.62, N = 3 SE +/- 0.29, N = 3 7854.28 7845.28 7843.34 1. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
SVT-HEVC Tuning: 10 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p 1 2 3 20 40 60 80 100 SE +/- 0.14, N = 3 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 101.85 101.85 101.98 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Basis Universal Settings: UASTC Level 0 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 0 1 2 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 11.01 11.00 10.99 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 1 2 3 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 20.50 20.52 20.52 MIN: 20.32 MIN: 20.29 MIN: 20.32 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 1 2 3 0.8238 1.6476 2.4714 3.2952 4.119 SE +/- 0.00650, N = 3 SE +/- 0.00209, N = 3 SE +/- 0.00493, N = 3 3.65702 3.66132 3.65956 MIN: 3.61 MIN: 3.61 MIN: 3.62 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 1 2 3 1600 3200 4800 6400 8000 SE +/- 1.70, N = 3 SE +/- 2.46, N = 3 SE +/- 3.85, N = 3 7393.22 7401.56 7396.59 MIN: 7380.82 MIN: 7389.32 MIN: 7381.63 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction 1 2 3 40 80 120 160 200 SE +/- 0.09, N = 3 SE +/- 0.09, N = 3 SE +/- 0.13, N = 3 203.09 202.93 203.14 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
ASTC Encoder Preset: Thorough OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.4 Preset: Thorough 1 2 3 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 33.01 32.99 33.02 1. (CXX) g++ options: -O3 -flto -pthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 1 2 3 800 1600 2400 3200 4000 SE +/- 2.90, N = 3 SE +/- 2.76, N = 3 SE +/- 2.54, N = 3 3952.65 3952.08 3955.00 MIN: 3942.22 MIN: 3941.26 MIN: 3946.66 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 800 1600 2400 3200 4000 SE +/- 2.53, N = 3 SE +/- 0.47, N = 3 SE +/- 4.66, N = 3 3955.37 3954.96 3957.84 MIN: 3945.55 MIN: 3947.75 MIN: 3944.06 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 1 2 3 1600 3200 4800 6400 8000 SE +/- 4.38, N = 3 SE +/- 4.06, N = 3 SE +/- 2.94, N = 3 7395.55 7399.68 7394.30 MIN: 7383.32 MIN: 7381.45 MIN: 7382.12 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Basis Universal Settings: UASTC Level 3 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 3 1 2 3 30 60 90 120 150 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 144.17 144.08 144.08 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
SVT-VP9 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p 1 2 3 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.17, N = 3 88.01 88.04 88.06 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.4 Preset: Exhaustive 1 2 3 60 120 180 240 300 SE +/- 0.05, N = 3 SE +/- 0.00, N = 3 SE +/- 0.05, N = 3 256.21 256.09 256.17 1. (CXX) g++ options: -O3 -flto -pthread
Basis Universal Settings: UASTC Level 2 OpenBenchmarking.org Seconds, Fewer Is Better Basis Universal 1.13 Settings: UASTC Level 2 1 2 3 16 32 48 64 80 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 72.90 72.91 72.89 1. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 15.11 Time To Compile 1 2 3 200 400 600 800 1000 SE +/- 0.06, N = 3 SE +/- 0.31, N = 3 SE +/- 0.28, N = 3 1106.50 1106.64 1106.68
SVT-HEVC Tuning: 1 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p 1 2 3 0.693 1.386 2.079 2.772 3.465 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 3.08 3.08 3.08 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
AOM AV1 Encoder Mode: Speed 0 Two-Pass OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 2.1-rc Encoder Mode: Speed 0 Two-Pass 1 2 3 0.036 0.072 0.108 0.144 0.18 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 8 0.16 0.16 0.16 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: LargeRandom 1 2 3 0.198 0.396 0.594 0.792 0.99 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.88 0.88 0.88 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 0.8.2 Throughput Test: Kostya 1 2 3 0.531 1.062 1.593 2.124 2.655 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 2.36 2.36 2.36 1. (CXX) g++ options: -O3 -pthread
Phoronix Test Suite v10.8.5