Intel Core i7-1165G7 testing with a Dell 08607K (1.0.3 BIOS) and Intel Xe 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
xps13-hpc-baseline-x11-20210121-1 Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 08607K (1.0.3 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0
OS: Ubuntu 20.04, Kernel: 5.6.0-1042-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.6, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200
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,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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 1.9.1Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
xps13-hpc-baseline-x11-20210121-1 OpenBenchmarking.org Phoronix Test Suite Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Dell 08607K (1.0.3 BIOS) Intel Device a0ef 16GB Micron 2300 NVMe 512GB Intel Xe 3GB (1300MHz) Realtek ALC289 Intel Device a0f0 Ubuntu 20.04 5.6.0-1042-oem (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.2.6 1.2.131 GCC 9.3.0 ext4 1920x1200 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL Vulkan Compiler File-System Screen Resolution Xps13-hpc-baseline-x11-20210121-1 Benchmarks System Logs - --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 1.9.1 - Python 3.8.5 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Kripke Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Throughput FoM, More Is Better Kripke 1.2.4 xps13-hpc-baseline-x11-20210121-1 12M 24M 36M 48M 60M SE +/- 256311.47, N = 3 55674970 1. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.01, N = 3 7.70
OpenBenchmarking.org ms, Fewer Is Better TNN 0.2.3 Target: CPU - Model: MobileNet v2 xps13-hpc-baseline-x11-20210121-1 90 180 270 360 450 SE +/- 0.53, N = 3 410.46 MIN: 406.64 / MAX: 492.58 1. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd xps13-hpc-baseline-x11-20210121-1 8 16 24 32 40 SE +/- 0.04, N = 3 34.81 MIN: 34.14 / MAX: 53.47 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny xps13-hpc-baseline-x11-20210121-1 9 18 27 36 45 SE +/- 0.02, N = 3 39.16 MIN: 38.06 / MAX: 56.83 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet50 xps13-hpc-baseline-x11-20210121-1 10 20 30 40 50 SE +/- 0.01, N = 3 44.77 MIN: 44.4 / MAX: 63.82 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: alexnet xps13-hpc-baseline-x11-20210121-1 4 8 12 16 20 SE +/- 0.20, N = 3 17.26 MIN: 16.35 / MAX: 21.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet18 xps13-hpc-baseline-x11-20210121-1 5 10 15 20 25 SE +/- 0.35, N = 3 19.37 MIN: 17.65 / MAX: 27.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: vgg16 xps13-hpc-baseline-x11-20210121-1 14 28 42 56 70 SE +/- 0.09, N = 3 62.69 MIN: 61.54 / MAX: 87.95 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: googlenet xps13-hpc-baseline-x11-20210121-1 5 10 15 20 25 SE +/- 0.35, N = 3 21.70 MIN: 20.8 / MAX: 42.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: blazeface xps13-hpc-baseline-x11-20210121-1 0.6188 1.2376 1.8564 2.4752 3.094 SE +/- 0.05, N = 3 2.75 MIN: 2.59 / MAX: 5.87 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 xps13-hpc-baseline-x11-20210121-1 3 6 9 12 15 SE +/- 0.13, N = 3 10.75 MIN: 10.35 / MAX: 13.38 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mnasnet xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.13, N = 3 7.35 MIN: 6.99 / MAX: 11.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 xps13-hpc-baseline-x11-20210121-1 3 6 9 12 15 SE +/- 0.18, N = 3 9.31 MIN: 8.81 / MAX: 12.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.05, N = 3 6.92 MIN: 6.5 / MAX: 21.39 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.14, N = 3 7.98 MIN: 7.53 / MAX: 10.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mobilenet xps13-hpc-baseline-x11-20210121-1 7 14 21 28 35 SE +/- 0.06, N = 3 30.44 MIN: 29.88 / MAX: 49.1 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m xps13-hpc-baseline-x11-20210121-1 5 10 15 20 25 SE +/- 0.32, N = 3 20.00 MIN: 18.96 / MAX: 39.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd xps13-hpc-baseline-x11-20210121-1 8 16 24 32 40 SE +/- 0.05, N = 3 34.80 MIN: 34.2 / MAX: 47.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny xps13-hpc-baseline-x11-20210121-1 9 18 27 36 45 SE +/- 0.06, N = 3 39.16 MIN: 38.15 / MAX: 57.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 xps13-hpc-baseline-x11-20210121-1 10 20 30 40 50 SE +/- 0.02, N = 3 44.68 MIN: 44.31 / MAX: 47.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet xps13-hpc-baseline-x11-20210121-1 4 8 12 16 20 SE +/- 0.02, N = 3 17.46 MIN: 17.26 / MAX: 34.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 xps13-hpc-baseline-x11-20210121-1 5 10 15 20 25 SE +/- 0.02, N = 3 19.70 MIN: 18.91 / MAX: 23.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 xps13-hpc-baseline-x11-20210121-1 14 28 42 56 70 SE +/- 0.35, N = 3 63.01 MIN: 61.63 / MAX: 67.6 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet xps13-hpc-baseline-x11-20210121-1 5 10 15 20 25 SE +/- 0.04, N = 3 21.93 MIN: 20.82 / MAX: 40.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface xps13-hpc-baseline-x11-20210121-1 0.6165 1.233 1.8495 2.466 3.0825 SE +/- 0.03, N = 3 2.74 MIN: 2.58 / MAX: 5.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 xps13-hpc-baseline-x11-20210121-1 3 6 9 12 15 SE +/- 0.12, N = 3 10.79 MIN: 10.38 / MAX: 13.89 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.10, N = 3 7.40 MIN: 7.02 / MAX: 22.07 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 xps13-hpc-baseline-x11-20210121-1 3 6 9 12 15 SE +/- 0.20, N = 3 9.30 MIN: 8.8 / MAX: 11.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.10, N = 3 6.86 MIN: 6.51 / MAX: 9.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.14, N = 3 7.97 MIN: 7.48 / MAX: 11.26 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet xps13-hpc-baseline-x11-20210121-1 7 14 21 28 35 SE +/- 0.03, N = 3 30.46 MIN: 29.98 / MAX: 51.86 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Mobile Neural Network MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: inception-v3 xps13-hpc-baseline-x11-20210121-1 12 24 36 48 60 SE +/- 0.77, N = 3 52.78 MIN: 50.78 / MAX: 98.71 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 xps13-hpc-baseline-x11-20210121-1 1.0874 2.1748 3.2622 4.3496 5.437 SE +/- 0.007, N = 3 4.833 MIN: 4.79 / MAX: 7.61 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: MobileNetV2_224 xps13-hpc-baseline-x11-20210121-1 0.8564 1.7128 2.5692 3.4256 4.282 SE +/- 0.128, N = 3 3.806 MIN: 3.5 / MAX: 22.12 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: resnet-v2-50 xps13-hpc-baseline-x11-20210121-1 9 18 27 36 45 SE +/- 0.25, N = 3 39.14 MIN: 38.36 / MAX: 60.48 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
OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 xps13-hpc-baseline-x11-20210121-1 2 4 6 8 10 SE +/- 0.025, N = 3 7.138 MIN: 7.03 / MAX: 28.24 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
GPAW GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better GPAW 20.1 Input: Carbon Nanotube xps13-hpc-baseline-x11-20210121-1 200 400 600 800 1000 SE +/- 2.30, N = 3 1029.15 1. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.org Average Mbytes/sec, More Is Better Intel MPI Benchmarks 2019.3 Test: IMB-MPI1 Sendrecv xps13-hpc-baseline-x11-20210121-1 800 1600 2400 3200 4000 SE +/- 45.18, N = 3 3748.22 MAX: 17800.84 1. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.org Average Mbytes/sec, More Is Better Intel MPI Benchmarks 2019.3 Test: IMB-MPI1 PingPong xps13-hpc-baseline-x11-20210121-1 600 1200 1800 2400 3000 SE +/- 23.03, N = 15 2893.25 MIN: 7.22 / MAX: 11197.15 1. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.org Average usec, Fewer Is Better Intel MPI Benchmarks 2019.3 Test: IMB-MPI1 Exchange xps13-hpc-baseline-x11-20210121-1 30 60 90 120 150 SE +/- 0.82, N = 3 149.95 MIN: 0.5 / MAX: 2043.91 1. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.org Average Mbytes/sec, More Is Better Intel MPI Benchmarks 2019.3 Test: IMB-MPI1 Exchange xps13-hpc-baseline-x11-20210121-1 900 1800 2700 3600 4500 SE +/- 27.24, N = 3 4327.73 MAX: 16485.01 1. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.org Average Msg/sec, More Is Better Intel MPI Benchmarks 2019.3 Test: IMB-P2P PingPong xps13-hpc-baseline-x11-20210121-1 600K 1200K 1800K 2400K 3000K SE +/- 17594.43, N = 3 3031420 MIN: 1788 / MAX: 7585292 1. (CXX) g++ options: -O0 -pedantic -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve OpenMP - Gridding xps13-hpc-baseline-x11-20210121-1 300 600 900 1200 1500 SE +/- 0.00, N = 3 1408.76 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Degridding xps13-hpc-baseline-x11-20210121-1 300 600 900 1200 1500 SE +/- 0.63, N = 3 1424.46 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MPI - Gridding xps13-hpc-baseline-x11-20210121-1 300 600 900 1200 1500 SE +/- 2.32, N = 3 1462.96 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Degridding xps13-hpc-baseline-x11-20210121-1 300 600 900 1200 1500 SE +/- 1.65, N = 3 1409.39 1. (CXX) g++ options: -lpthread
OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 2018-11-10 Test: tConvolve MT - Gridding xps13-hpc-baseline-x11-20210121-1 300 600 900 1200 1500 SE +/- 4.65, N = 3 1434.08 1. (CXX) g++ options: -lpthread
RNNoise RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 xps13-hpc-baseline-x11-20210121-1 7 14 21 28 35 SE +/- 0.12, N = 3 32.09 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
DeepSpeech Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better DeepSpeech 0.6 Acceleration: CPU xps13-hpc-baseline-x11-20210121-1 20 40 60 80 100 SE +/- 0.75, N = 3 81.82
Monte Carlo Simulations of Ionised Nebulae Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 xps13-hpc-baseline-x11-20210121-1 80 160 240 320 400 SE +/- 0.58, N = 3 348 1. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
Timed MrBayes Analysis This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Timed MrBayes Analysis 3.2.7 Primate Phylogeny Analysis xps13-hpc-baseline-x11-20210121-1 20 40 60 80 100 SE +/- 0.81, N = 3 96.84 1. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mavx512f -mavx512cd -mavx512vl -mavx512bw -mavx512dq -mavx512ifma -mavx512vbmi -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline
FFTE FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 Test: N=256, 1D Complex FFT Routine xps13-hpc-baseline-x11-20210121-1 5K 10K 15K 20K 25K SE +/- 148.39, N = 3 23348.11 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
Algebraic Multi-Grid Benchmark AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 xps13-hpc-baseline-x11-20210121-1 80M 160M 240M 320M 400M SE +/- 671511.45, N = 3 352631200 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
Dolfyn Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics xps13-hpc-baseline-x11-20210121-1 6 12 18 24 30 SE +/- 0.15, N = 3 24.09
NAMD NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms xps13-hpc-baseline-x11-20210121-1 1.0436 2.0872 3.1308 4.1744 5.218 SE +/- 0.04503, N = 3 4.63829
Parboil The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP MRI Gridding xps13-hpc-baseline-x11-20210121-1 11 22 33 44 55 SE +/- 0.52, N = 3 48.43 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP Stencil xps13-hpc-baseline-x11-20210121-1 4 8 12 16 20 SE +/- 0.21, N = 4 17.05 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP CUTCP xps13-hpc-baseline-x11-20210121-1 3 6 9 12 15 SE +/- 0.015742, N = 3 9.943114 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.org Seconds, Fewer Is Better Parboil 2.5 Test: OpenMP LBM xps13-hpc-baseline-x11-20210121-1 20 40 60 80 100 SE +/- 0.25, N = 3 98.19 1. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenCV This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.4 Test: DNN - Deep Neural Network xps13-hpc-baseline-x11-20210121-1 1400 2800 4200 5600 7000 SE +/- 384.66, N = 15 6418 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
xps13-hpc-baseline-x11-20210121-1 Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 08607K (1.0.3 BIOS), Chipset: Intel Device a0ef, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Device a0f0
OS: Ubuntu 20.04, Kernel: 5.6.0-1042-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.2.6, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200
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,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 -vProcessor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x60 - Thermald 1.9.1Python Notes: Python 3.8.5Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 21 January 2021 12:25 by user chris.