2021 Laptops - HP Zbook

Ubuntu 20.10 laptop benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2102173-HA-ZBOOK940895.

ET: Legacy

Renderer: Renderer2 - Resolution: 1920 x 1080

Xonotic

Resolution: 1920 x 1080 - Effects Quality: High

Xonotic

Resolution: 1920 x 1080 - Effects Quality: Ultra

Xonotic

Resolution: 1920 x 1080 - Effects Quality: Ultimate

GLmark2

Resolution: 1920 x 1080

QuantLib

Etcpak

Configuration: ETC2

Etcpak

Configuration: ETC1 + Dithering

LeelaChessZero

Backend: Eigen

Dolfyn

Computational Fluid Dynamics

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

WebP Image Encode

Encode Settings: Quality 100

WebP Image Encode

Encode Settings: Quality 100, Lossless

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

simdjson

Throughput Test: Kostya

simdjson

Throughput Test: LargeRandom

simdjson

Throughput Test: PartialTweets

simdjson

Throughput Test: DistinctUserID

Zstd Compression

Compression Level: 19

LibRaw

Post-Processing Benchmark

dav1d

Video Input: Chimera 1080p

dav1d

Video Input: Summer Nature 4K

dav1d

Video Input: Summer Nature 1080p

dav1d

Video Input: Chimera 1080p 10-bit

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

x265

Video Input: Bosphorus 4K

x265

Video Input: Bosphorus 1080p

Intel Open Image Denoise

Scene: Memorial

OpenVKL

Benchmark: vklBenchmark

Coremark

CoreMark Size 666 - Iterations Per Second

LuxCoreRender

Scene: DLSC

LuxCoreRender

Scene: Rainbow Colors and Prism

Stockfish

Total Time

libavif avifenc

Encoder Speed: 2

libavif avifenc

Encoder Speed: 8

libavif avifenc

Encoder Speed: 10

Timed Godot Game Engine Compilation

Time To Compile

Timed Linux Kernel Compilation

Time To Compile

Build2

Time To Compile

YafaRay

Total Time For Sample Scene

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

Gcrypt Library

RNNoise

WebP2 Image Encode

Encode Settings: Default

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

Google SynthMark

Test: VoiceMark_100

Node.js V8 Web Tooling Benchmark

FinanceBench

Benchmark: Repo OpenMP

FinanceBench

Benchmark: Bonds OpenMP

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve MPI - Gridding

ASKAP

Test: tConvolve OpenMP - Degridding

ASKAP

Test: Hogbom Clean OpenMP

libjpeg-turbo tjbench

Test: Decompression Throughput

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

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

SQLite Speedtest

Timed Time - Size 1,000

Darktable

Test: Boat - Acceleration: CPU-only

Darktable

Test: Masskrug - Acceleration: CPU-only

Darktable

Test: Server Rack - Acceleration: CPU-only

Darktable

Test: Server Room - Acceleration: CPU-only

Hugin

Panorama Photo Assistant + Stitching Time

LibreOffice

Test: 20 Documents To PDF

OCRMyPDF

Processing 60 Page PDF Document

RawTherapee

Total Benchmark Time

librsvg

Operation: SVG Files To PNG

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: inception-v3

NCNN

Target: CPU - Model: shufflenet-v2

NCNN

Target: CPU - Model: efficientnet-b0

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: Vulkan GPU - Model: mobilenet

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

NCNN

Target: Vulkan GPU - Model: blazeface

NCNN

Target: Vulkan GPU - Model: googlenet

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: regnety_400m

TNN

Target: CPU - Model: MobileNet v2