eo 2022 benchmarks new cpus

Benchmarks for a future article on Phoronix.

HTML result view exported from: https://openbenchmarking.org/result/2301092-PTS-EO2022BE94&grs.

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 1024

QuadRay

Scene: 5 - Resolution: 4K

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

Blender

Blend File: BMW27 - Compute: CPU-Only

Blender

Blend File: Classroom - Compute: CPU-Only

OpenVINO

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

miniBUDE

Implementation: OpenMP - Input Deck: BM1

QuadRay

Scene: 5 - Resolution: 1080p

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenVINO

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenVINO

Model: Face Detection FP16 - Device: CPU

QuadRay

Scene: 3 - Resolution: 4K

Blender

Blend File: Fishy Cat - Compute: CPU-Only

QuadRay

Scene: 2 - Resolution: 4K

Neural Magic DeepSparse

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

QuadRay

Scene: 3 - Resolution: 1080p

QuadRay

Scene: 2 - Resolution: 1080p

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

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 512

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

Neural Magic DeepSparse

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

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 512

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

Xmrig

Variant: Wownero - Hash Count: 1M

QuadRay

Scene: 1 - Resolution: 4K

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

Neural Magic DeepSparse

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

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 1024

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

QuadRay

Scene: 1 - Resolution: 1080p

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

Timed Linux Kernel Compilation

Build: allmodconfig

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

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 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

OpenRadioss

Model: Rubber O-Ring Seal Installation

nginx

Connections: 200

nginx

Connections: 100

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

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

nginx

Connections: 500

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

Neural Magic DeepSparse

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

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

oneDNN

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

OpenVKL

Benchmark: vklBenchmark Scalar

Timed Linux Kernel Compilation

Build: defconfig

OpenVINO

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

spaCy

Model: en_core_web_trf

CockroachDB

Workload: KV, 95% Reads - Concurrency: 1024

OpenVKL

Benchmark: vklBenchmark ISPC

libavif avifenc

Encoder Speed: 6

nginx

Connections: 1000

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

Neural Magic DeepSparse

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

CockroachDB

Workload: KV, 95% Reads - Concurrency: 512

CockroachDB

Workload: KV, 95% Reads - Concurrency: 256

TensorFlow

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

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

CockroachDB

Workload: KV, 60% Reads - Concurrency: 1024

libavif avifenc

Encoder Speed: 0

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

OpenRadioss

Model: Bird Strike on Windshield

OpenRadioss

Model: Cell Phone Drop Test

CockroachDB

Workload: KV, 50% Reads - Concurrency: 1024

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

Xmrig

Variant: Monero - Hash Count: 1M

TensorFlow

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

Neural Magic DeepSparse

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

Neural Magic DeepSparse

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

TensorFlow

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

libavif avifenc

Encoder Speed: 6, Lossless

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

libavif avifenc

Encoder Speed: 2

TensorFlow

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

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

TensorFlow

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