AMD AOCC 4.0 Benchmarks

AMD Ryzen 9 7950X compiler benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2211152-PTS-AMDAOCC460&sgm=1&hgv=AOCC+4.0&swl&rdt&grw.

yquake2

Renderer: Software CPU Color Light - AF: Off - MSAA: On - Resolution: 1920 x 1080

yquake2

Renderer: Software CPU Color Light - AF: On - MSAA: Off - Resolution: 1920 x 1080

yquake2

Renderer: Software CPU Color Light - AF: On - MSAA: On - Resolution: 1920 x 1080

yquake2

Renderer: Software CPU - AF: Off - MSAA: Off - Resolution: 1920 x 1080

yquake2

Renderer: Software CPU - AF: On - MSAA: Off - Resolution: 1920 x 1080

yquake2

Renderer: Software CPU Color Light - AF: Off - MSAA: Off - Resolution: 1920 x 1080

TSCP

AI Chess Performance

Crypto++

Test: Keyed Algorithms

Crypto++

Test: Unkeyed Algorithms

Nettle

Test: aes256

Nettle

Test: chacha

Nettle

Test: sha512

Nettle

Test: poly1305-aes

CLOMP

Static OMP Speedup

CppPerformanceBenchmarks

Test: Atol

CppPerformanceBenchmarks

Test: Ctype

CppPerformanceBenchmarks

Test: Math Library

CppPerformanceBenchmarks

Test: Stepanov Vector

CppPerformanceBenchmarks

Test: Function Objects

CppPerformanceBenchmarks

Test: Stepanov Abstraction

Sockperf

Test: Throughput

FLAC Audio Encoding

WAV To FLAC

LAME MP3 Encoding

WAV To MP3

libjpeg-turbo tjbench

Test: Decompression Throughput

Ngspice

Circuit: C2670

Ngspice

Circuit: C7552

ASTC Encoder

Preset: Fast

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Exhaustive

Google Draco

Model: Lion

Google Draco

Model: Church Facade

KTX-Software toktx

Settings: UASTC 3

KTX-Software toktx

Settings: Zstd Compression 19

JPEG XL Decoding libjxl

CPU Threads: 1

JPEG XL Decoding libjxl

CPU Threads: All

JPEG XL libjxl

Input: PNG - Quality: 90

JPEG XL libjxl

Input: JPEG - Quality: 90

JPEG XL libjxl

Input: PNG - Quality: 100

JPEG XL libjxl

Input: JPEG - Quality: 100

OpenJPEG

Encode: NASA Curiosity Panorama M34

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

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

SecureMark

Benchmark: SecureMark-TLS

QuantLib

LeelaChessZero

Backend: BLAS

LeelaChessZero

Backend: Eigen

Dolfyn

Computational Fluid Dynamics

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Parallel

TNN

Target: CPU - Model: DenseNet

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

oneDNN

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

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

yquake2

Renderer: Software CPU - AF: Off - MSAA: On - Resolution: 1920 x 1080

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO