Compiler Optimization Levels

Tests for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2106132-IB-COMPILERO15&grt&sor.

AOBench

Size: 2048 x 2048 - Total Time

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Exhaustive

Botan

Test: KASUMI

Botan

Test: KASUMI - Decrypt

Botan

Test: Twofish

Botan

Test: Twofish - Decrypt

Botan

Test: Blowfish

Botan

Test: Blowfish - Decrypt

Botan

Test: CAST-256

Botan

Test: CAST-256 - Decrypt

Botan

Test: ChaCha20Poly1305 - Decrypt

C-Ray

Total Time - 4K, 16 Rays Per Pixel

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

Chia Blockchain VDF

Test: Square Assembly Optimized

Coremark

CoreMark Size 666 - Iterations Per Second

Crypto++

Test: All Algorithms

Crypto++

Test: Keyed Algorithms

Crypto++

Test: Unkeyed Algorithms

Crypto++

Test: Integer + Elliptic Curve Public Key Algorithms

dav1d

Video Input: Summer Nature 4K

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

FLAC Audio Encoding

WAV To FLAC

GraphicsMagick

Operation: Swirl

GraphicsMagick

Operation: Rotate

GraphicsMagick

Operation: Sharpen

GraphicsMagick

Operation: Enhanced

GraphicsMagick

Operation: Resizing

GraphicsMagick

Operation: Noise-Gaussian

GraphicsMagick

Operation: HWB Color Space

LAME MP3 Encoding

WAV To MP3

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

libjpeg-turbo tjbench

Test: Decompression Throughput

Liquid-DSP

Threads: 1 - Buffer Length: 256 - Filter Length: 57

Liquid-DSP

Threads: 2 - Buffer Length: 256 - Filter Length: 57

Liquid-DSP

Threads: 4 - Buffer Length: 256 - Filter Length: 57

Liquid-DSP

Threads: 8 - Buffer Length: 256 - Filter Length: 57

Liquid-DSP

Threads: 16 - Buffer Length: 256 - Filter Length: 57

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: resnet50

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: regnety_400m

NCNN

Target: CPU - Model: alexnet

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

oneDNN

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

oneDNN

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

Opus Codec Encoding

WAV To Opus Encode

PJSIP

Method: INVITE

PJSIP

Method: OPTIONS, Stateful

PJSIP

Method: OPTIONS, Stateless

PostMark

Disk Transaction Performance