2020-02-29_-_btrd3_-_disk Intel Core i5-3470 testing with a Gigabyte B75M-D3V (F11 BIOS) and NVIDIA GeForce GTX 760 2GB on Ubuntu 19.10 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 2002292-VE-20200229B02 2020-02-29_-_btrd3_-_disk Processor: Intel Core i5-3470 @ 3.60GHz (4 Cores), Motherboard: Gigabyte B75M-D3V (F11 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 1000GB TOSHIBA MQ01ABD1 + 256GB OCZ PETROL + 750GB SAMSUNG HD753LJ, Graphics: NVIDIA GeForce GTX 760 2GB (980/3004MHz), Audio: Realtek ALC887-VD, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.3.0-40-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: NVIDIA 435.21, OpenGL: 4.6.0, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x21OpenCL Notes: GPU Compute Cores: 1152Python Notes: Python 2.7.17 + Python 3.7.5Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Not affected
2020-02-29_-_btrd3_-_disk OpenBenchmarking.org Phoronix Test Suite Intel Core i5-3470 @ 3.60GHz (4 Cores) Gigabyte B75M-D3V (F11 BIOS) Intel Xeon E3-1200 v2/3rd 8GB 1000GB TOSHIBA MQ01ABD1 + 256GB OCZ PETROL + 750GB SAMSUNG HD753LJ NVIDIA GeForce GTX 760 2GB (980/3004MHz) Realtek ALC887-VD Realtek RTL8111/8168/8411 Ubuntu 19.10 5.3.0-40-generic (x86_64) GNOME Shell 3.34.1 X Server 1.20.5 NVIDIA 435.21 4.6.0 GCC 9.2.1 20191008 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 2020-02-29_-_btrd3_-_disk Benchmarks System Logs - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x21 - GPU Compute Cores: 1152 - Python 2.7.17 + Python 3.7.5 - itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Not affected
2020-02-29_-_btrd3_-_disk mkl-dnn: IP Batch 1D - f32 mkl-dnn: IP Batch All - f32 mkl-dnn: IP Batch 1D - u8s8f32 mkl-dnn: IP Batch All - u8s8f32 mkl-dnn: Convolution Batch conv_3d - f32 mkl-dnn: Convolution Batch conv_all - f32 mkl-dnn: Convolution Batch conv_3d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_1d - f32 mkl-dnn: Deconvolution Batch deconv_3d - f32 mkl-dnn: Convolution Batch conv_alexnet - f32 mkl-dnn: Convolution Batch conv_all - u8s8f32 mkl-dnn: Deconvolution Batch deconv_all - f32 mkl-dnn: Deconvolution Batch deconv_1d - u8s8f32 mkl-dnn: Deconvolution Batch deconv_3d - u8s8f32 mkl-dnn: Recurrent Neural Network Training - f32 mkl-dnn: Convolution Batch conv_alexnet - u8s8f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - f32 mkl-dnn: Convolution Batch conv_googlenet_v3 - u8s8f32 numpy: rbenchmark: plaidml: No - Inference - VGG16 - CPU plaidml: No - Inference - ResNet 50 - CPU mlpack: scikit_ica mlpack: scikit_svm scikit-learn: 2020-02-29_-_btrd3_-_disk 50.7165 74.6921 257.671 1278.97 80.0474 13889.5 46209.7 42.2295 60.9304 1939.24 420506 13690.7 18668.7 29153.2 1855.99 14656.0 784.335 9775.98 205.50 0.2751 2.62 3.49 68.25 15.07 15.439 OpenBenchmarking.org
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 2020-02-29_-_btrd3_-_disk 11 22 33 44 55 SE +/- 0.29, N = 3 50.72 MIN: 47.3 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: f32 2020-02-29_-_btrd3_-_disk 20 40 60 80 100 SE +/- 0.22, N = 3 74.69 MIN: 69.86 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch 1D - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 60 120 180 240 300 SE +/- 0.20, N = 3 257.67 MIN: 249.11 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: IP Batch All - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 300 600 900 1200 1500 SE +/- 0.28, N = 3 1278.97 MIN: 1250.86 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: f32 2020-02-29_-_btrd3_-_disk 20 40 60 80 100 SE +/- 0.11, N = 3 80.05 MIN: 74.15 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: f32 2020-02-29_-_btrd3_-_disk 3K 6K 9K 12K 15K SE +/- 15.67, N = 3 13889.5 MIN: 13588.7 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_3d - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 10K 20K 30K 40K 50K SE +/- 25.61, N = 3 46209.7 MIN: 45833.1 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: f32 2020-02-29_-_btrd3_-_disk 10 20 30 40 50 SE +/- 0.07, N = 3 42.23 MIN: 39.47 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: f32 2020-02-29_-_btrd3_-_disk 14 28 42 56 70 SE +/- 0.60, N = 3 60.93 MIN: 57.27 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: f32 2020-02-29_-_btrd3_-_disk 400 800 1200 1600 2000 SE +/- 0.95, N = 3 1939.24 MIN: 1911.65 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_all - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 90K 180K 270K 360K 450K SE +/- 2544.72, N = 3 420506 MIN: 411800 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_all - Data Type: f32 2020-02-29_-_btrd3_-_disk 3K 6K 9K 12K 15K SE +/- 16.26, N = 3 13690.7 MIN: 13331.4 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 4K 8K 12K 16K 20K SE +/- 53.74, N = 3 18668.7 MIN: 18449.1 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 6K 12K 18K 24K 30K SE +/- 31.35, N = 3 29153.2 MIN: 28833.7 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Recurrent Neural Network Training - Data Type: f32 2020-02-29_-_btrd3_-_disk 400 800 1200 1600 2000 SE +/- 2.87, N = 3 1855.99 MIN: 1809.59 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 3K 6K 9K 12K 15K SE +/- 25.14, N = 3 14656.0 MIN: 14521.6 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 2020-02-29_-_btrd3_-_disk 200 400 600 800 1000 SE +/- 0.55, N = 3 784.34 MIN: 743.53 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org ms, Fewer Is Better MKL-DNN DNNL 1.1 Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 2020-02-29_-_btrd3_-_disk 2K 4K 6K 8K 10K SE +/- 19.19, N = 3 9775.98 MIN: 9587.97 1. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU 2020-02-29_-_btrd3_-_disk 0.7853 1.5706 2.3559 3.1412 3.9265 SE +/- 0.01, N = 3 3.49
2020-02-29_-_btrd3_-_disk Processor: Intel Core i5-3470 @ 3.60GHz (4 Cores), Motherboard: Gigabyte B75M-D3V (F11 BIOS), Chipset: Intel Xeon E3-1200 v2/3rd, Memory: 8GB, Disk: 1000GB TOSHIBA MQ01ABD1 + 256GB OCZ PETROL + 750GB SAMSUNG HD753LJ, Graphics: NVIDIA GeForce GTX 760 2GB (980/3004MHz), Audio: Realtek ALC887-VD, Network: Realtek RTL8111/8168/8411
OS: Ubuntu 19.10, Kernel: 5.3.0-40-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: NVIDIA 435.21, OpenGL: 4.6.0, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x21OpenCL Notes: GPU Compute Cores: 1152Python Notes: Python 2.7.17 + Python 3.7.5Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Not affected
Testing initiated at 29 February 2020 12:00 by user ulrich.