AMD P-State Linux 6.3 Testing

2 x AMD EPYC 7773X 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2302279-NE-AMDPSTATE45&rdt&grr.

TensorFlow

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

OpenVKL

Benchmark: vklBenchmark Scalar

OpenVKL

Benchmark: vklBenchmark ISPC

TensorFlow

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

BRL-CAD

VGR Performance Metric

PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Write

ClickHouse

100M Rows Hits Dataset, Third Run

ClickHouse

100M Rows Hits Dataset, Second Run

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Write

CockroachDB

Workload: KV, 95% Reads - Concurrency: 512

PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Only

Xcompact3d Incompact3d

Input: X3D-benchmarking input.i3d

Timed Gem5 Compilation

Time To Compile

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

Timed Linux Kernel Compilation

Build: allmodconfig

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Only

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write

OpenVINO

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

OpenVINO

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

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only

Blender

Blend File: Barbershop - Compute: CPU-Only

CockroachDB

Workload: KV, 10% Reads - Concurrency: 512

Timed Node.js Compilation

Time To Compile

OSPRay Studio

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

OSPRay Studio

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

OSPRay Studio

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

OSPRay Studio

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

Timed Linux Kernel Compilation

Build: defconfig

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

CockroachDB

Workload: MoVR - Concurrency: 512

nginx

Connections: 500

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

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

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

Zstd Compression

Compression Level: 19, Long Mode - Decompression Speed

Zstd Compression

Compression Level: 19, Long Mode - Compression Speed

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

7-Zip Compression

Test: Decompression Rating

7-Zip Compression

Test: Compression Rating

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

Zstd Compression

Compression Level: 19 - Decompression Speed

Zstd Compression

Compression Level: 19 - Compression Speed

Neural Magic DeepSparse

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

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - 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, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

Timed Godot Game Engine Compilation

Time To Compile

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenVINO

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

OpenVINO

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

Blender

Blend File: Classroom - Compute: CPU-Only

PHPBench

PHP Benchmark Suite