Linux Laptop Performance Comparison

Intel Core i7-1185G7 Linux benchmarks with Dell XPS 13 by Michael Larabel for a future article..

HTML result view exported from: https://openbenchmarking.org/result/2107194-IB-LAPTOPS8769&sor&grr.

GNU Radio

Test: Signal Source (Cosine)

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

GNU Radio

Test: Hilbert Transform

GNU Radio

Test: FM Deemphasis Filter

GNU Radio

Test: IIR Filter

GNU Radio

Test: FIR Filter

GNU Radio

Test: Five Back to Back FIR Filters

KTX-Software toktx

Settings: UASTC 4 + Zstd Compression 19

Appleseed

Scene: Emily

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

WireGuard + Linux Networking Stack Stress Test

OSPray

Demo: San Miguel - Renderer: Path Tracer

Blender

Blend File: BMW27 - Compute: CPU-Only

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

Ngspice

Circuit: C2670

TNN

Target: CPU - Model: DenseNet

Appleseed

Scene: Disney Material

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

YafaRay

Total Time For Sample Scene

Appleseed

Scene: Material Tester

Ngspice

Circuit: C7552

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

asmFish

1024 Hash Memory, 26 Depth

OpenVKL

Benchmark: vklBenchmark

LuaRadio

Test: Complex Phase

LuaRadio

Test: Hilbert Transform

LuaRadio

Test: FM Deemphasis Filter

LuaRadio

Test: Five Back to Back FIR Filters

srsRAN

Test: 5G PHY_DL_NR Test 270 PRB SISO 256-QAM

srsRAN

Test: 5G PHY_DL_NR Test 270 PRB SISO 256-QAM

Timed Godot Game Engine Compilation

Time To Compile

Selenium

Benchmark: Jetstream 2 - Browser: Firefox

SecureMark

Benchmark: SecureMark-TLS

Mobile Neural Network

Model: inception-v3

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: MobileNetV2_224

Mobile Neural Network

Model: SqueezeNetV1.0

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: squeezenetv1.1

Mobile Neural Network

Model: mobilenetV3

RawTherapee

Total Benchmark Time

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

Numpy Benchmark

OSPray

Demo: XFrog Forest - Renderer: SciVis

Selenium

Benchmark: ARES-6 - Browser: Firefox

Timed Wasmer Compilation

Time To Compile

Timed Linux Kernel Compilation

Time To Compile

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

IndigoBench

Acceleration: CPU - Scene: Bedroom

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

PyPerformance

Benchmark: python_startup

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

LZ4 Compression

Compression Level: 9 - Decompression Speed

LZ4 Compression

Compression Level: 9 - Compression Speed

x265

Video Input: Bosphorus 4K

dav1d

Video Input: Summer Nature 4K

Embree

Binary: Pathtracer - Model: Asian Dragon

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

Timed GDB GNU Debugger Compilation

Time To Compile

Timed Mesa Compilation

Time To Compile

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

Hugin

Panorama Photo Assistant + Stitching Time

OCRMyPDF

Processing 60 Page PDF Document

Selenium

Benchmark: StyleBench - Browser: Google Chrome

Stockfish

Total Time

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

NCNN

Target: CPU - Model: mnasnet

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: resnet50

NCNN

Target: CPU - Model: alexnet

NCNN

Target: CPU - Model: resnet18

NCNN

Target: CPU - Model: vgg16

NCNN

Target: CPU - Model: googlenet

NCNN

Target: CPU - Model: blazeface

NCNN

Target: CPU - Model: efficientnet-b0

NCNN

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

NCNN

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

NCNN

Target: CPU - Model: mobilenet

Selenium

Benchmark: Speedometer - Browser: Firefox

SQLite Speedtest

Timed Time - Size 1,000

NCNN

Target: CPU - Model: regnety_400m

NCNN

Target: CPU - Model: shufflenet-v2

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 1080p