AMD Ryzen 9 7950X / Ryzen 9 9950X AVX-512 Comparison

AMD Ryzen 9 7950X and Ryzen 9 9950X AVX-512 on/off comparison benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2408145-NE-RYZEN999549&sro&grs.

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenVINO

Model: Person Re-Identification Retail FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

NAMD

Input: ATPase with 327,506 Atoms

NAMD

Input: STMV with 1,066,628 Atoms

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

oneDNN

Harness: IP Shapes 3D - Engine: CPU

miniBUDE

Implementation: OpenMP - Input Deck: BM1

miniBUDE

Implementation: OpenMP - Input Deck: BM1

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

oneDNN

Harness: IP Shapes 1D - Engine: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

simdjson

Throughput Test: PartialTweets

simdjson

Throughput Test: DistinctUserID

oneDNN

Harness: Recurrent Neural Network Training - Engine: CPU

simdjson

Throughput Test: TopTweet

ONNX Runtime

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

oneDNN

Harness: Recurrent Neural Network Inference - Engine: CPU

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OpenVINO

Model: Noise Suppression Poconet-Like FP16 - Device: CPU

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Engine: CPU

simdjson

Throughput Test: Kostya

LeelaChessZero

Backend: Eigen

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

Numpy Benchmark

ONNX Runtime

Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard

ONNX Runtime

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

TensorFlow

Device: CPU - Batch Size: 1 - Model: ResNet-50

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

PyTorch

Device: CPU - Batch Size: 64 - Model: ResNet-50

OSPRay

Benchmark: particle_volume/pathtracer/real_time

simdjson

Throughput Test: LargeRandom

LeelaChessZero

Backend: BLAS

Embree

Binary: Pathtracer ISPC - Model: Crown

Y-Cruncher

Pi Digits To Calculate: 1B

Mobile Neural Network

Model: resnet-v2-50

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

Y-Cruncher

Pi Digits To Calculate: 500M

ONNX Runtime

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

XNNPACK

Model: QU8MobileNetV2

XNNPACK

Model: QU8MobileNetV3Large

CPU Temperature Monitor

Phoronix Test Suite System Monitoring

CPU Power Consumption Monitor

Phoronix Test Suite System Monitoring

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Phoronix Test Suite System Monitoring

ONNX Runtime

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

ONNX Runtime

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

ONNX Runtime

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

ONNX Runtime

Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard

ONNX Runtime

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

ONNX Runtime

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

ONNX Runtime

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

ONNX Runtime

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