AMD P-State Linux 6.3 Testing

Benchmarks by Michael Larabel for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2302279-NE-AMDPSTATE10&grt&rdt.

7-Zip Compression

Test: Compression Rating

7-Zip Compression

Test: Decompression Rating

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

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

ClickHouse

100M Rows Hits Dataset, Second Run

ClickHouse

100M Rows Hits Dataset, Third Run

CockroachDB

Workload: MoVR - Concurrency: 512

CockroachDB

Workload: KV, 10% Reads - Concurrency: 512

CockroachDB

Workload: KV, 95% Reads - Concurrency: 512

Embree

Binary: Pathtracer ISPC - Model: Crown

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Super Fast

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

NAMD

ATPase Simulation - 327,506 Atoms

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

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

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: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-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 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 Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - 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

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

nginx

Connections: 500

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Mesh Time

OpenFOAM

Input: drivaerFastback, Medium Mesh Size - Execution Time

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

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

OpenVINO

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

OpenVKL

Benchmark: vklBenchmark ISPC

OpenVKL

Benchmark: vklBenchmark Scalar

OSPRay Studio

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

OSPRay Studio

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

PHPBench

PHP Benchmark Suite

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PostgreSQL

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

PyBench

Total For Average Test Times

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

SVT-AV1