xps13-hpc-baseline-x11-20210121-1

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.

HTML result view exported from: https://openbenchmarking.org/result/2101218-HA-XPS13HPCB96.

High Performance Conjugate Gradient

LeelaChessZero

Backend: BLAS

Parboil

Test: OpenMP LBM

Parboil

Test: OpenMP CUTCP

Parboil

Test: OpenMP Stencil

Parboil

Test: OpenMP MRI Gridding

miniFE

Problem Size: Small

CP2K Molecular Dynamics

Fayalite-FIST Data

NAMD

ATPase Simulation - 327,506 Atoms

Dolfyn

Computational Fluid Dynamics

Nebular Empirical Analysis Tool

Algebraic Multi-Grid Benchmark

FFTE

Test: N=256, 1D Complex FFT Routine

Timed MrBayes Analysis

Primate Phylogeny Analysis

Timed HMMer Search

Pfam Database Search

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

LULESH

ArrayFire

Test: BLAS CPU

Himeno Benchmark

Poisson Pressure Solver

Numpy Benchmark

DeepSpeech

Acceleration: CPU

R Benchmark

RNNoise

ASKAP

Test: tConvolve MT - Gridding

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: tConvolve MPI - Gridding

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve OpenMP - Gridding

ASKAP

Test: tConvolve OpenMP - Degridding

Intel MPI Benchmarks

Test: IMB-P2P PingPong

Intel MPI Benchmarks

Test: IMB-MPI1 Exchange

Intel MPI Benchmarks

Test: IMB-MPI1 Exchange

Intel MPI Benchmarks

Test: IMB-MPI1 PingPong

Intel MPI Benchmarks

Test: IMB-MPI1 Sendrecv

Intel MPI Benchmarks

Test: IMB-MPI1 Sendrecv

GROMACS

Water Benchmark

TensorFlow Lite

Model: SqueezeNet

TensorFlow Lite

Model: Inception V4

TensorFlow Lite

Model: NASNet Mobile

TensorFlow Lite

Model: Mobilenet Float

TensorFlow Lite

Model: Mobilenet Quant

TensorFlow Lite

Model: Inception ResNet V2

GNU Octave Benchmark

GPAW

Input: Carbon Nanotube

Mobile Neural Network

Model: SqueezeNetV1.0

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: MobileNetV2_224

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: inception-v3

NCNN

Target: CPU - Model: mobilenet

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: CPU - Model: shufflenet-v2

NCNN

Target: CPU - Model: mnasnet

NCNN

Target: CPU - Model: efficientnet-b0

NCNN

Target: CPU - Model: blazeface

NCNN

Target: CPU - Model: googlenet

NCNN

Target: CPU - Model: vgg16

NCNN

Target: CPU - Model: resnet18

NCNN

Target: CPU - Model: alexnet

NCNN

Target: CPU - Model: resnet50

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: regnety_400m

NCNN

Target: Vulkan GPU - Model: mobilenet

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

NCNN

Target: Vulkan GPU - Model: mnasnet

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

NCNN

Target: Vulkan GPU - Model: blazeface

NCNN

Target: Vulkan GPU - Model: googlenet

NCNN

Target: Vulkan GPU - Model: vgg16

NCNN

Target: Vulkan GPU - Model: resnet18

NCNN

Target: Vulkan GPU - Model: alexnet

NCNN

Target: Vulkan GPU - Model: resnet50

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

NCNN

Target: Vulkan GPU - Model: regnety_400m

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

AI Benchmark Alpha

Device Inference Score

AI Benchmark Alpha

Device Training Score

AI Benchmark Alpha

Device AI Score

Mlpack Benchmark

Benchmark: scikit_ica

Mlpack Benchmark

Benchmark: scikit_qda

Mlpack Benchmark

Benchmark: scikit_svm

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

Scikit-Learn

Kripke

OpenCV

Test: DNN - Deep Neural Network

Phoronix Test Suite v10.8.4