GM-1000, Karbon 700, CompuLab Airtop PCs

Tests for a future article by Michael Larabel.

HTML result view exported from: https://openbenchmarking.org/result/2011011-FI-GM100056276&grw.

Java Gradle Build

Gradle Build: Reactor

DaCapo Benchmark

Java Test: H2

DaCapo Benchmark

Java Test: Jython

DaCapo Benchmark

Java Test: Tradesoap

DaCapo Benchmark

Java Test: Tradebeans

Hierarchical INTegration

Test: FLOAT

Tesseract OCR

Time To OCR 7 Images

BRL-CAD

VGR Performance Metric

ASTC Encoder

Preset: Fast

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Exhaustive

Hugin

Panorama Photo Assistant + Stitching Time

LibRaw

Post-Processing Benchmark

RawTherapee

Total Benchmark Time

WebP Image Encode

Encode Settings: Default

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

librsvg

Operation: SVG Files To PNG

OCRMyPDF

Processing 60 Page PDF Document

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

GLmark2

Resolution: 1920 x 1080

Timed HMMer Search

Pfam Database Search

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

LeelaChessZero

Backend: BLAS

LeelaChessZero

Backend: Eigen

Numenta Anomaly Benchmark

Detector: Relative Entropy

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

Numpy Benchmark

Dolfyn

Computational Fluid Dynamics

GNU Octave Benchmark

RNNoise

AI Benchmark Alpha

Device Inference Score

AI Benchmark Alpha

Device Training Score

AI Benchmark Alpha

Device AI Score

Mobile Neural Network

Model: SqueezeNetV1.0

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: inception-v3

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

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

NCNN

Target: CPU - Model: squeezenet

NCNN

Target: CPU - Model: mobilenet

NCNN

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

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: Vulkan GPU - Model: squeezenet

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

Mlpack Benchmark

Benchmark: scikit_ica

Mlpack Benchmark

Benchmark: scikit_qda

Mlpack Benchmark

Benchmark: scikit_svm

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

GROMACS

Water Benchmark

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

High Performance Conjugate Gradient

NAMD

ATPase Simulation - 327,506 Atoms

oneDNN

Harness: IP Batch 1D - Data Type: f32 - Engine: CPU

oneDNN

Harness: IP Batch All - Data Type: f32 - Engine: CPU

oneDNN

Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

FFTE

N=256, 3D Complex FFT Routine

Kripke

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

Incompact3D

Input: Cylinder

WireGuard + Linux Networking Stack Stress Test

PostMark

Disk Transaction Performance

Timed GDB GNU Debugger Compilation

Time To Compile

Timed Apache Compilation

Time To Compile

7-Zip Compression

Compress Speed Test

John The Ripper

Test: Blowfish

John The Ripper

Test: MD5

Timed LLVM Compilation

Time To Compile

Timed PHP Compilation

Time To Compile

Zstd Compression

Compression Level: 3

Zstd Compression

Compression Level: 19

Timed Linux Kernel Compilation

Time To Compile

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium