i7-8700K Intel Core i7-8700K testing with a Gigabyte Z370 AORUS Gaming 5-CF (F11 BIOS) and ASUS NVIDIA GeForce GTX 1080 Ti 11GB on Ubuntu 18.04 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 2001223-HU-I78700K9615 Intel Core i7-8700K Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z370 AORUS Gaming 5-CF (F11 BIOS), Chipset: Intel 8th Gen Core, Memory: 32768MB, Disk: Samsung SSD 970 EVO 250GB + 1000GB Crucial_CT1024MX, Graphics: ASUS NVIDIA GeForce GTX 1080 Ti 11GB, Audio: Realtek ALC1220, Network: Intel I219-V + Intel 3165
OS: Ubuntu 18.04, Kernel: 5.0.0-36-generic (x86_64), Display Server: X Server 1.20.4, Compiler: GCC 6.5.0 20181026 + CUDA 10.0, File-System: ext4, Screen Resolution: 800x600
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,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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-as=/usr/bin/x86_64-linux-gnu-as --with-default-libstdcxx-abi=new --with-ld=/usr/bin/x86_64-linux-gnu-ld --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcaSecurity Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
MKL-DNN DNNL This is a test of the Intel MKL-DNN (DNNL / Deep Neural Network Library) as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: f32 Intel Core i7-8700K 2 4 6 8 10 SE +/- 0.05366, N = 3 6.05417 MIN: 4.85 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 Intel Core i7-8700K 6 12 18 24 30 SE +/- 0.19, N = 3 24.65 MIN: 21.77 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 Intel Core i7-8700K 14 28 42 56 70 SE +/- 0.26, N = 3 62.76 MIN: 56.01 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 Intel Core i7-8700K 80 160 240 320 400 SE +/- 2.16, N = 3 348.89 MIN: 317.22 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 Intel Core i7-8700K 6 12 18 24 30 SE +/- 0.06, N = 3 27.56 MIN: 23.34 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 Intel Core i7-8700K 800 1600 2400 3200 4000 SE +/- 3.72, N = 3 3671.91 MIN: 3389.67 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 Intel Core i7-8700K 5K 10K 15K 20K 25K SE +/- 18.77, N = 3 21379.0 MIN: 21127.9 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 Intel Core i7-8700K 2 4 6 8 10 SE +/- 0.08234, N = 3 8.43441 MIN: 7 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 Intel Core i7-8700K 3 6 9 12 15 SE +/- 0.14807, N = 3 9.84934 MIN: 8.83 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 Intel Core i7-8700K 100 200 300 400 500 SE +/- 0.79, N = 3 479.28 MIN: 446.7 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 Intel Core i7-8700K 14K 28K 42K 56K 70K SE +/- 56.28, N = 3 64218.4 MIN: 61721.5 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 Intel Core i7-8700K 800 1600 2400 3200 4000 SE +/- 10.57, N = 3 3647.96 MIN: 3235.94 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 Intel Core i7-8700K 3K 6K 9K 12K 15K SE +/- 2.58, N = 3 12734.1 MIN: 12590.4 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 Intel Core i7-8700K 4K 8K 12K 16K 20K SE +/- 18.65, N = 3 16490.6 MIN: 16409.4 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 Intel Core i7-8700K 80 160 240 320 400 SE +/- 3.33, N = 3 359.40 MIN: 306.36 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 Intel Core i7-8700K 1200 2400 3600 4800 6000 SE +/- 17.41, N = 3 5821.65 MIN: 5568.48 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 Intel Core i7-8700K 50 100 150 200 250 SE +/- 0.25, N = 3 215.80 MIN: 187.44 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 Intel Core i7-8700K 600 1200 1800 2400 3000 SE +/- 8.41, N = 3 3013.31 MIN: 2724.54 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthreads -ldl
Intel Core i7-8700K Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: Gigabyte Z370 AORUS Gaming 5-CF (F11 BIOS), Chipset: Intel 8th Gen Core, Memory: 32768MB, Disk: Samsung SSD 970 EVO 250GB + 1000GB Crucial_CT1024MX, Graphics: ASUS NVIDIA GeForce GTX 1080 Ti 11GB, Audio: Realtek ALC1220, Network: Intel I219-V + Intel 3165
OS: Ubuntu 18.04, Kernel: 5.0.0-36-generic (x86_64), Display Server: X Server 1.20.4, Compiler: GCC 6.5.0 20181026 + CUDA 10.0, File-System: ext4, Screen Resolution: 800x600
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,d,fortran,objc,obj-c++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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-as=/usr/bin/x86_64-linux-gnu-as --with-default-libstdcxx-abi=new --with-ld=/usr/bin/x86_64-linux-gnu-ld --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xcaSecurity Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
Testing initiated at 22 January 2020 03:36 by user thanhnd.