Coder Radio XPS 13 ML Ubuntu Benchmark Intel Core i5-1135G7 testing with a Dell 0THX8P (1.1.1 BIOS) and Intel Xe 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
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phoronix-test-suite benchmark 2101015-FI-CODERRADI28 XPS 13 Tiger Lake Ubuntu 20.04 Processor: Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: Dell 0THX8P (1.1.1 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: 5.6.0-1036-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 20.0.8, 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
Coder Radio XPS 13 ML Ubuntu Benchmark OpenBenchmarking.org Phoronix Test Suite Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads) Dell 0THX8P (1.1.1 BIOS) Intel Device a0ef 16GB Micron 2300 NVMe 512GB Intel Xe 3GB (1300MHz) Realtek ALC289 Intel Device a0f0 Ubuntu 20.04 5.6.0-1036-oem (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.8 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 Coder Radio XPS 13 ML Ubuntu Benchmark Performance 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
Coder Radio XPS 13 ML Ubuntu Benchmark 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: IP Shapes 1D - bf16bf16bf16 - CPU onednn: IP Shapes 3D - bf16bf16bf16 - 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: Convolution Batch Shapes Auto - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU onednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - 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 onednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU numpy: rnnoise: tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet_ssd ncnn: Vulkan GPU - regnety_400m plaidml: No - Inference - VGG16 - CPU plaidml: No - Inference - ResNet 50 - CPU numenta-nab: EXPoSE numenta-nab: Relative Entropy numenta-nab: Windowed Gaussian numenta-nab: Earthgecko Skyline numenta-nab: Bayesian Changepoint ai-benchmark: Device Inference Score ai-benchmark: Device Training Score ai-benchmark: Device AI Score mlpack: scikit_ica mlpack: scikit_qda mlpack: scikit_svm mlpack: scikit_linearridgeregression scikit-learn: opencv: DNN - Deep Neural Network XPS 13 Tiger Lake Ubuntu 20.04 10.2773 6.59350 2.43051 2.62981 25.8282 6.39979 11.5632 14.6326 13.4125 7.93450 2.94262 3.13684 8862.65 5736.43 8875.33 52.4284 57.0546 52.6824 4528.11 3.93298 8859.05 4516.60 2.12307 11.8072 293.18 31.947 627487 9220230 455525 424309 419506 8329360 11.256 54.691 6.238 8.320 68.523 35.03 7.78 6.71 9.99 8.10 12.53 2.85 25.01 68.50 22.07 19.06 51.01 44.65 39.61 21.11 35.11 7.71 6.70 10.30 8.13 11.83 2.80 24.58 69.16 22.25 19.23 51.13 44.68 39.53 21.01 6.47 3.27 1139.241 48.609 27.702 333.639 81.062 556 630 1186 123.23 138.24 34.66 13.50 17.900 5351 OpenBenchmarking.org
oneDNN This is a test of the Intel oneDNN 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. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.06, N = 3 10.28 MIN: 9.23 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.01444, N = 3 6.59350 MIN: 6.09 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.5469 1.0938 1.6407 2.1876 2.7345 SE +/- 0.02334, N = 14 2.43051 MIN: 1.9 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.5917 1.1834 1.7751 2.3668 2.9585 SE +/- 0.00152, N = 3 2.62981 MIN: 2.56 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 6 12 18 24 30 SE +/- 0.10, N = 3 25.83 MIN: 25.21 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.06267, N = 3 6.39979 MIN: 5.73 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.13, N = 15 11.56 MIN: 10.07 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 4 8 12 16 20 SE +/- 0.12, N = 13 14.63 MIN: 13.05 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.05, N = 3 13.41 MIN: 13.24 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.02049, N = 3 7.93450 MIN: 7.85 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.6621 1.3242 1.9863 2.6484 3.3105 SE +/- 0.02862, N = 12 2.94262 MIN: 2.6 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.7058 1.4116 2.1174 2.8232 3.529 SE +/- 0.00316, N = 3 3.13684 MIN: 3.11 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 2K 4K 6K 8K 10K SE +/- 5.47, N = 3 8862.65 MIN: 8818.95 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 1200 2400 3600 4800 6000 SE +/- 1216.13, N = 12 5736.43 MIN: 4504.31 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 2K 4K 6K 8K 10K SE +/- 18.79, N = 3 8875.33 MIN: 8833.23 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 12 24 36 48 60 SE +/- 0.02, N = 3 52.43 MIN: 52.31 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 13 26 39 52 65 SE +/- 0.64, N = 6 57.05 MIN: 54.12 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 12 24 36 48 60 SE +/- 0.07, N = 3 52.68 MIN: 52.49 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 1000 2000 3000 4000 5000 SE +/- 10.91, N = 3 4528.11 MIN: 4494.22 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.8849 1.7698 2.6547 3.5396 4.4245 SE +/- 0.01624, N = 3 3.93298 MIN: 3.57 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 2K 4K 6K 8K 10K SE +/- 1.56, N = 3 8859.05 MIN: 8815.8 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 1000 2000 3000 4000 5000 SE +/- 5.17, N = 3 4516.60 MIN: 4500.62 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.4777 0.9554 1.4331 1.9108 2.3885 SE +/- 0.00736, N = 3 2.12307 MIN: 1.9 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.12, N = 12 11.81 MIN: 10.58 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -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 XPS 13 Tiger Lake Ubuntu 20.04 7 14 21 28 35 SE +/- 0.01, N = 3 31.95 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
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 2020-09-17 Model: SqueezeNetV1.0 XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.24, N = 11 11.26 MIN: 8.69 / MAX: 35.37 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 2020-09-17 Model: resnet-v2-50 XPS 13 Tiger Lake Ubuntu 20.04 12 24 36 48 60 SE +/- 0.17, N = 11 54.69 MIN: 53.32 / MAX: 132.87 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 2020-09-17 Model: MobileNetV2_224 XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.012, N = 11 6.238 MIN: 6.15 / MAX: 28.03 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 2020-09-17 Model: mobilenet-v1-1.0 XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.171, N = 11 8.320 MIN: 6.48 / MAX: 30.71 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 2020-09-17 Model: inception-v3 XPS 13 Tiger Lake Ubuntu 20.04 15 30 45 60 75 SE +/- 0.25, N = 11 68.52 MIN: 66.62 / MAX: 223.45 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 NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.05, N = 3 7.78 MIN: 7.55 / MAX: 25.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.02, N = 3 6.71 MIN: 6.52 / MAX: 10.19 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.59, N = 3 9.99 MIN: 8.78 / MAX: 13.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.50, N = 3 8.10 MIN: 7 / MAX: 12.21 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.04, N = 3 12.53 MIN: 12.32 / MAX: 31.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface XPS 13 Tiger Lake Ubuntu 20.04 0.6413 1.2826 1.9239 2.5652 3.2065 SE +/- 0.02, N = 3 2.85 MIN: 2.56 / MAX: 3.12 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet XPS 13 Tiger Lake Ubuntu 20.04 6 12 18 24 30 SE +/- 0.11, N = 3 25.01 MIN: 23.82 / MAX: 51.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 XPS 13 Tiger Lake Ubuntu 20.04 15 30 45 60 75 SE +/- 0.25, N = 3 68.50 MIN: 67.14 / MAX: 86.96 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 XPS 13 Tiger Lake Ubuntu 20.04 5 10 15 20 25 SE +/- 0.02, N = 3 22.07 MIN: 21.29 / MAX: 25.98 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet XPS 13 Tiger Lake Ubuntu 20.04 5 10 15 20 25 SE +/- 0.02, N = 3 19.06 MIN: 18.7 / MAX: 27.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 XPS 13 Tiger Lake Ubuntu 20.04 12 24 36 48 60 SE +/- 0.12, N = 3 51.01 MIN: 50.55 / MAX: 116.37 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny XPS 13 Tiger Lake Ubuntu 20.04 10 20 30 40 50 SE +/- 0.55, N = 3 44.65 MIN: 43.73 / MAX: 74 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd XPS 13 Tiger Lake Ubuntu 20.04 9 18 27 36 45 SE +/- 0.23, N = 3 39.61 MIN: 39.09 / MAX: 57.3 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m XPS 13 Tiger Lake Ubuntu 20.04 5 10 15 20 25 SE +/- 0.17, N = 3 21.11 MIN: 18.89 / MAX: 41.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mobilenet XPS 13 Tiger Lake Ubuntu 20.04 8 16 24 32 40 SE +/- 0.48, N = 3 35.11 MIN: 34.07 / MAX: 62.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.03, N = 3 7.71 MIN: 7.52 / MAX: 10.75 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.01, N = 3 6.70 MIN: 6.52 / MAX: 9.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: shufflenet-v2 XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.67, N = 3 10.30 MIN: 8.76 / MAX: 26.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: mnasnet XPS 13 Tiger Lake Ubuntu 20.04 2 4 6 8 10 SE +/- 0.54, N = 3 8.13 MIN: 6.99 / MAX: 27.68 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: efficientnet-b0 XPS 13 Tiger Lake Ubuntu 20.04 3 6 9 12 15 SE +/- 0.66, N = 3 11.83 MIN: 10.35 / MAX: 14.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: blazeface XPS 13 Tiger Lake Ubuntu 20.04 0.63 1.26 1.89 2.52 3.15 SE +/- 0.06, N = 3 2.80 MIN: 2.58 / MAX: 5.23 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: googlenet XPS 13 Tiger Lake Ubuntu 20.04 6 12 18 24 30 SE +/- 0.60, N = 3 24.58 MIN: 20.79 / MAX: 125.42 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: vgg16 XPS 13 Tiger Lake Ubuntu 20.04 15 30 45 60 75 SE +/- 0.54, N = 3 69.16 MIN: 67.22 / MAX: 89.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet18 XPS 13 Tiger Lake Ubuntu 20.04 5 10 15 20 25 SE +/- 0.17, N = 3 22.25 MIN: 21.22 / MAX: 66.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: alexnet XPS 13 Tiger Lake Ubuntu 20.04 5 10 15 20 25 SE +/- 0.20, N = 3 19.23 MIN: 18.73 / MAX: 22.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: resnet50 XPS 13 Tiger Lake Ubuntu 20.04 12 24 36 48 60 SE +/- 0.13, N = 3 51.13 MIN: 50.6 / MAX: 85.33 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: yolov4-tiny XPS 13 Tiger Lake Ubuntu 20.04 10 20 30 40 50 SE +/- 0.57, N = 3 44.68 MIN: 43.68 / MAX: 64.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: squeezenet_ssd XPS 13 Tiger Lake Ubuntu 20.04 9 18 27 36 45 SE +/- 0.23, N = 3 39.53 MIN: 39 / MAX: 49.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: Vulkan GPU - Model: regnety_400m XPS 13 Tiger Lake Ubuntu 20.04 5 10 15 20 25 SE +/- 0.90, N = 3 21.01 MIN: 18.85 / MAX: 41.97 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.org FPS, More Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU XPS 13 Tiger Lake Ubuntu 20.04 0.7358 1.4716 2.2074 2.9432 3.679 SE +/- 0.01, N = 3 3.27
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: EXPoSE XPS 13 Tiger Lake Ubuntu 20.04 200 400 600 800 1000 SE +/- 2.32, N = 3 1139.24
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 XPS 13 Tiger Lake Ubuntu 20.04 1100 2200 3300 4400 5500 SE +/- 87.51, N = 3 5351 1. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
XPS 13 Tiger Lake Ubuntu 20.04 Processor: Intel Core i5-1135G7 @ 4.20GHz (4 Cores / 8 Threads), Motherboard: Dell 0THX8P (1.1.1 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: 5.6.0-1036-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 20.0.8, 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 31 December 2020 13:39 by user studio.