Xeon Max Linux 6.9 Kernel Benchmarks

2 x Intel Xeon Max 9480 benchmarks for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2404035-NE-XEONMAXLI15&sor&grt.

Blender

Blend File: BMW27 - Compute: CPU-Only

Blender

Blend File: Junkshop - Compute: CPU-Only

Blender

Blend File: Classroom - Compute: CPU-Only

Blender

Blend File: Fishy Cat - Compute: CPU-Only

Blender

Blend File: Barbershop - Compute: CPU-Only

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

BRL-CAD

VGR Performance Metric

CacheBench

Test: Read

CacheBench

Test: Write

CacheBench

Test: Read / Modify / Write

Chaos Group V-RAY

Mode: CPU

Embree

Binary: Pathtracer - Model: Crown

Embree

Binary: Pathtracer ISPC - Model: Crown

Embree

Binary: Pathtracer - Model: Asian Dragon

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

FFmpeg

Encoder: libx264 - Scenario: Live

FFmpeg

Encoder: libx265 - Scenario: Live

FFmpeg

Encoder: libx264 - Scenario: Upload

FFmpeg

Encoder: libx265 - Scenario: Upload

FFmpeg

Encoder: libx264 - Scenario: Platform

FFmpeg

Encoder: libx265 - Scenario: Platform

FFmpeg

Encoder: libx264 - Scenario: Video On Demand

FFmpeg

Encoder: libx265 - Scenario: Video On Demand

Google Draco

Model: Lion

Google Draco

Model: Church Facade

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

Hackbench

Count: 16 - Type: Thread

Hackbench

Count: 16 - Type: Process

Hackbench

Count: 32 - Type: Process

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only

JPEG-XL Decoding libjxl

CPU Threads: All

JPEG-XL libjxl

Input: PNG - Quality: 80

JPEG-XL libjxl

Input: PNG - Quality: 90

JPEG-XL libjxl

Input: JPEG - Quality: 80

JPEG-XL libjxl

Input: JPEG - Quality: 90

JPEG-XL libjxl

Input: PNG - Quality: 100

JPEG-XL libjxl

Input: JPEG - Quality: 100

Llama.cpp

Model: llama-2-13b.Q4_0.gguf

Llama.cpp

Model: llama-2-70b-chat.Q5_0.gguf

Llamafile

Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU

Llamafile

Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU

LZ4 Compression

Compression Level: 1 - Compression Speed

LZ4 Compression

Compression Level: 1 - Decompression Speed

LZ4 Compression

Compression Level: 3 - Compression Speed

LZ4 Compression

Compression Level: 3 - Decompression Speed

LZ4 Compression

Compression Level: 9 - Compression Speed

LZ4 Compression

Compression Level: 9 - Decompression Speed

MariaDB mariadb-slap

Clients: 512

MariaDB mariadb-slap

Clients: 1024

oneDNN

Harness: IP Shapes 1D - Engine: CPU

oneDNN

Harness: IP Shapes 3D - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Training - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Engine: CPU

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: T5 Encoder - Device: CPU - Executor: Parallel

ONNX Runtime

Model: T5 Encoder - Device: CPU - Executor: Parallel

ONNX Runtime

Model: T5 Encoder - Device: CPU - Executor: Standard

ONNX Runtime

Model: T5 Encoder - Device: CPU - Executor: Standard

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

Model: CaffeNet 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: Standard

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

Model: ResNet50 v1-12-int8 - 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: Standard

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

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

ONNX Runtime

Model: Faster R-CNN R-50-FPN-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: Standard

OpenSSL

Algorithm: SHA256

OpenSSL

Algorithm: SHA512

OpenSSL

Algorithm: RSA4096

OpenSSL

Algorithm: RSA4096

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

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

Model: Noise Suppression Poconet-Like 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 Re-Identification Retail FP16 - Device: CPU

OpenVINO

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

OpenVINO

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