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&grr.

OpenVKL

Benchmark: vklBenchmarkCPU ISPC

LeelaChessZero

Backend: BLAS

LeelaChessZero

Backend: Eigen

XNNPACK

Model: QU8MobileNetV3Large

XNNPACK

Model: QU8MobileNetV2

TensorFlow

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

simdjson

Throughput Test: PartialTweets

OSPRay Studio

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

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OSPRay Studio

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

ONNX Runtime

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

ONNX Runtime

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

Mobile Neural Network

Model: resnet-v2-50

simdjson

Throughput Test: Kostya

NAMD

Input: STMV with 1,066,628 Atoms

Numpy Benchmark

OSPRay Studio

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

simdjson

Throughput Test: LargeRandom

OSPRay Studio

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

OSPRay Studio

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

oneDNN

Harness: Recurrent Neural Network Training - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Engine: CPU

simdjson

Throughput Test: DistinctUserID

OSPRay Studio

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

simdjson

Throughput Test: TopTweet

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

ONNX Runtime

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

ONNX Runtime

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

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

ONNX Runtime

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

ONNX Runtime

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Re-Identification Retail 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: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenVINO

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

PyTorch

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

NAMD

Input: ATPase with 327,506 Atoms

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

Embree

Binary: Pathtracer ISPC - Model: Crown

oneDNN

Harness: IP Shapes 1D - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Engine: CPU

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

PyTorch

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

miniBUDE

Implementation: OpenMP - Input Deck: BM1

Y-Cruncher

Pi Digits To Calculate: 1B

TensorFlow

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

Y-Cruncher

Pi Digits To Calculate: 500M

oneDNN

Harness: IP Shapes 3D - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

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

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

ONNX Runtime

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime

CPU Peak Freq (Highest CPU Core Frequency) Monitor

ONNX Runtime

CPU Temperature Monitor

ONNX Runtime

CPU Power Consumption Monitor

ONNX Runtime