X3D Zen 4

Benchmarks for a future article..

HTML result view exported from: https://openbenchmarking.org/result/2303056-NE-X3DUPPER661&sro&grw.

KTX-Software toktx

Settings: Zstd Compression 19

KTX-Software toktx

Settings: UASTC 3

KTX-Software toktx

Settings: UASTC 3 + Zstd Compression 19

KTX-Software toktx

Settings: UASTC 4 + Zstd Compression 19

Xmrig

Variant: Monero - Hash Count: 1M

Xmrig

Variant: Wownero - Hash Count: 1M

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

TensorFlow

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

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

LeelaChessZero

Backend: BLAS

LeelaChessZero

Backend: Eigen

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard

ONNX Runtime

Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel

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

NCNN

Target: CPU - Model: vision_transformer

NCNN

Target: CPU - Model: FastestDet

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - 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: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve MPI - Gridding

ASKAP

Test: tConvolve OpenMP - Gridding

ASKAP

Test: tConvolve OpenMP - Degridding

ASKAP

Test: tConvolve MT - Gridding

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: Hogbom Clean OpenMP

ACES DGEMM

Sustained Floating-Point Rate

Pennant

Test: leblancbig

Pennant

Test: sedovbig

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

LULESH

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

GPAW

Input: Carbon Nanotube

Zstd Compression

Compression Level: 3 - Compression Speed

Zstd Compression

Compression Level: 3 - Decompression Speed

Zstd Compression

Compression Level: 3, Long Mode - Compression Speed

Zstd Compression

Compression Level: 3, Long Mode - Decompression Speed

Zstd Compression

Compression Level: 8 - Compression Speed

Zstd Compression

Compression Level: 8 - Decompression Speed

Zstd Compression

Compression Level: 8, Long Mode - Compression Speed

Zstd Compression

Compression Level: 8, Long Mode - Decompression Speed

Zstd Compression

Compression Level: 12 - Compression Speed

Zstd Compression

Compression Level: 12 - Decompression Speed

Zstd Compression

Compression Level: 19 - Compression Speed