Intel Xeon Platinum 8490H 1P vs. 2P Benchmarks

Sapphire Rapids launch day benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2301101-PTS-SPREXTRA34&rdt&grw.

DaCapo Benchmark

Java Test: Jython

BRL-CAD

VGR Performance Metric

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Exhaustive

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

Xmrig

Variant: Monero - Hash Count: 1M

Xmrig

Variant: Wownero - Hash Count: 1M

QuantLib

Graph500

Scale: 26

Graph500

Scale: 26

Graph500

Scale: 26

Graph500

Scale: 26

OpenRadioss

Model: Bird Strike on Windshield

OpenRadioss

Model: Cell Phone Drop Test

OpenRadioss

Model: Bumper Beam

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

RELION

Test: Basic - Device: CPU

WRF

Input: conus 2.5km

LeelaChessZero

Backend: Eigen

Numpy Benchmark

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

High Performance Conjugate Gradient

NAS Parallel Benchmarks

Test / Class: BT.C

NAS Parallel Benchmarks

Test / Class: EP.C

NAS Parallel Benchmarks

Test / Class: EP.D

NAS Parallel Benchmarks

Test / Class: FT.C

NAS Parallel Benchmarks

Test / Class: LU.C

NAS Parallel Benchmarks

Test / Class: SP.B

NAS Parallel Benchmarks

Test / Class: SP.C

NAS Parallel Benchmarks

Test / Class: IS.D

NAS Parallel Benchmarks

Test / Class: MG.C

NAS Parallel Benchmarks

Test / Class: CG.C

Rodinia

Test: OpenMP LavaMD

NAMD

ATPase Simulation - 327,506 Atoms

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - 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: 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 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - 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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve MPI - Gridding

ACES DGEMM

Sustained Floating-Point Rate

Pennant

Test: leblancbig

Pennant

Test: sedovbig

Algebraic Multi-Grid Benchmark

LULESH

NWChem

Input: C240 Buckyball

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 193 Cells Per Direction

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

Coremark

CoreMark Size 666 - Iterations Per Second

Timed MPlayer Compilation

Time To Compile

7-Zip Compression

Test: Compression Rating

7-Zip Compression

Test: Decompression Rating

Timed LLVM Compilation

Build System: Ninja

Timed LLVM Compilation

Build System: Unix Makefiles

Zstd Compression

Compression Level: 19 - Compression Speed

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

Zstd Compression

Compression Level: 19 - Decompression Speed

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

asmFish

1024 Hash Memory, 26 Depth

m-queens

Time To Solve

Timed Linux Kernel Compilation

Build: defconfig

Timed Linux Kernel Compilation

Build: allmodconfig

Sysbench

Test: CPU

GraphicsMagick

Operation: Enhanced

GraphicsMagick

Operation: Sharpen

Tachyon

Total Time

C-Ray

Total Time - 4K, 16 Rays Per Pixel

Blender

Blend File: BMW27 - Compute: CPU-Only

Blender

Blend File: Classroom - Compute: CPU-Only

Blender

Blend File: Fishy Cat - Compute: CPU-Only

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

Blender

Blend File: Barbershop - Compute: CPU-Only

POV-Ray

Trace Time

Timed Godot Game Engine Compilation

Time To Compile

Embree

Binary: Pathtracer - Model: Asian Dragon

Embree

Binary: Pathtracer - Model: Crown

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

Embree

Binary: Pathtracer ISPC - Model: Crown

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

LuxCoreRender

Scene: DLSC - Acceleration: CPU

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OSPRay

Benchmark: gravity_spheres_volume/dim_512/ao/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

OSPRay Studio

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

OSPRay Studio

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

OSPRay Studio

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

OSPRay Studio

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

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer