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&grw.

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

Hackbench

Count: 16 - Type: Thread

Hackbench

Count: 16 - Type: Process

Hackbench

Count: 32 - Type: Process

Stress-NG

Test: Hash

Stress-NG

Test: MMAP

Stress-NG

Test: NUMA

Stress-NG

Test: Pipe

Stress-NG

Test: Poll

Stress-NG

Test: Zlib

Stress-NG

Test: MEMFD

Stress-NG

Test: Mutex

Stress-NG

Test: Crypto

Stress-NG

Test: Malloc

Stress-NG

Test: Pthread

Stress-NG

Test: AVL Tree

Stress-NG

Test: IO_uring

Stress-NG

Test: SENDFILE

Stress-NG

Test: CPU Stress

Stress-NG

Test: Semaphores

Stress-NG

Test: Matrix Math

Stress-NG

Test: Floating Point

Stress-NG

Test: Matrix 3D Math

Stress-NG

Test: Memory Copying

Stress-NG

Test: Vector Shuffle

Stress-NG

Test: Mixed Scheduler

Stress-NG

Test: Socket Activity

Stress-NG

Test: Wide Vector Math

Stress-NG

Test: Context Switching

Stress-NG

Test: Fused Multiply-Add

Stress-NG

Test: Vector Floating Point

Stress-NG

Test: Glibc C String Functions

Stress-NG

Test: Glibc Qsort Data Sorting

Stress-NG

Test: System V Message Passing

CacheBench

Test: Read

CacheBench

Test: Write

CacheBench

Test: Read / Modify / Write

BRL-CAD

VGR Performance Metric

WavPack Audio Encoding

WAV To WavPack

Google Draco

Model: Lion

Google Draco

Model: Church Facade

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

WebP2 Image Encode

Encode Settings: Default

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

Xmrig

Variant: KawPow - Hash Count: 1M

Xmrig

Variant: Monero - Hash Count: 1M

Xmrig

Variant: Wownero - Hash Count: 1M

Xmrig

Variant: GhostRider - Hash Count: 1M

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

TensorFlow

Device: CPU - Batch Size: 1 - Model: AlexNet

TensorFlow

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

TensorFlow

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

TensorFlow

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

TensorFlow

Device: CPU - Batch Size: 1 - Model: GoogLeNet

TensorFlow

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

TensorFlow

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

TensorFlow

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

Y-Cruncher

Pi Digits To Calculate: 500M

Y-Cruncher

Pi Digits To Calculate: 1B

TensorFlow

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

TensorFlow

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

TensorFlow

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

TensorFlow

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

TensorFlow

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

TensorFlow

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

TensorFlow

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

ONNX Runtime

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

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: Standard

ONNX Runtime

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

ONNX Runtime

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

OpenSSL

Algorithm: RSA4096

OpenSSL

Algorithm: SHA512

OpenSSL

Algorithm: RSA4096

ONNX Runtime

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

OpenSSL

Algorithm: SHA256

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: Standard

ONNX Runtime

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

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: Standard

ONNX Runtime

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

ONNX Runtime

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

Quicksilver

Input: CORAL2 P2

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

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

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

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

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

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

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

Timed FFmpeg Compilation

Time To Compile

Primesieve

Length: 1e12

Primesieve

Length: 1e13

Stockfish

Chess Benchmark

Timed Linux Kernel Compilation

Build: defconfig

Timed Linux Kernel Compilation

Build: allmodconfig

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

Chaos Group V-RAY

Mode: CPU

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

Quicksilver

Input: CORAL2 P1

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

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

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

VVenC

Video Input: Bosphorus 1080p - Video Preset: Fast

VVenC

Video Input: Bosphorus 1080p - Video Preset: Faster

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

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

OSPRay

Benchmark: particle_volume/ao/real_time

OSPRay

Benchmark: particle_volume/scivis/real_time

OSPRay

Benchmark: particle_volume/pathtracer/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/scivis/real_time

OSPRay

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

OSPRay Studio

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

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - 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: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 2 - 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

OSPRay Studio

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

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

Timed Mesa Compilation

Time To Compile

srsRAN Project

Test: PDSCH Processor Benchmark, Throughput Total

Speedb

Test: Random Fill

Speedb

Test: Random Read

Speedb

Test: Update Random

Speedb

Test: Sequential Fill

Speedb

Test: Random Fill Sync

Speedb

Test: Read Random Write Random

RocksDB

Test: Overwrite

RocksDB

Test: Random Read

RocksDB

Test: Update Random

RocksDB

Test: Read Random Write Random

MariaDB mariadb-slap

Clients: 512

MariaDB mariadb-slap

Clients: 1024

ONNX Runtime

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

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Parallel

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: Standard

ONNX Runtime

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

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: Standard

ONNX Runtime

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

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: Standard

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

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: Standard

Phoronix Test Suite v10.8.5