STW AMD EPYC Milan vs. Intel Xeon Ice Lake Server Benchmarks

Benchmarks by Michael Larabel, preparations for a future article on Phoronix.

HTML result view exported from: https://openbenchmarking.org/result/2305089-PTS-STWSERVE31&rdt&grs.

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenSSL

Algorithm: SHA256

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

RocksDB

Test: Sequential Fill

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

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

Pennant

Test: sedovbig

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

Neural Magic DeepSparse

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

Neural Magic DeepSparse

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

OSPRay Studio

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

oneDNN

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenVINO

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

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

LULESH

Pennant

Test: leblancbig

OpenVINO

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

RocksDB

Test: Random Read

OpenVINO

Model: Person Detection FP16 - Device: CPU

OSPRay Studio

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

OpenVINO

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

SVT-HEVC

Tuning: 1 - Input: Bosphorus 4K

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

Neural Magic DeepSparse

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

OpenVINO

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

Blender

Blend File: Classroom - Compute: CPU-Only

TensorFlow

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

OpenSSL

Algorithm: RSA4096

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenSSL

Algorithm: RSA4096

TensorFlow

Device: CPU - Batch Size: 512 - Model: ResNet-50

Neural Magic DeepSparse

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

PostgreSQL

Scaling Factor: 1000 - Clients: 800 - Mode: Read Write - Average Latency

Blender

Blend File: BMW27 - Compute: CPU-Only

Blender

Blend File: Barbershop - Compute: CPU-Only

miniBUDE

Implementation: OpenMP - Input Deck: BM1

miniBUDE

Implementation: OpenMP - Input Deck: BM1

PostgreSQL

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

PostgreSQL

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

PostgreSQL

Scaling Factor: 1000 - Clients: 800 - Mode: Read Write

Neural Magic DeepSparse

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

NAMD

ATPase Simulation - 327,506 Atoms

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

Neural Magic DeepSparse

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

Embree

Binary: Pathtracer - Model: Crown

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU