eo 2022 benchmarks new cpus

Benchmarks for a future article on Phoronix.

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

Timed Linux Kernel Compilation

Build: allmodconfig

Blender

Blend File: Barbershop - Compute: CPU-Only

BRL-CAD

VGR Performance Metric

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

nekRS

Input: TurboPipe Periodic

OpenVKL

Benchmark: vklBenchmark ISPC

OpenVKL

Benchmark: vklBenchmark Scalar

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

JPEG XL libjxl

Input: JPEG - Quality: 100

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

Blender

Blend File: Classroom - Compute: CPU-Only

OpenRadioss

Model: Bird Strike on Windshield

JPEG XL libjxl

Input: PNG - Quality: 100

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenRadioss

Model: Bumper Beam

OpenRadioss

Model: Rubber O-Ring Seal Installation

Xmrig

Variant: Monero - Hash Count: 1M

libavif avifenc

Encoder Speed: 0

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

CockroachDB

Workload: KV, 10% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 60% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 50% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 95% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 50% Reads - Concurrency: 512

CockroachDB

Workload: KV, 60% Reads - Concurrency: 512

CockroachDB

Workload: KV, 95% Reads - Concurrency: 512

CockroachDB

Workload: KV, 10% Reads - Concurrency: 512

CockroachDB

Workload: KV, 10% Reads - Concurrency: 256

CockroachDB

Workload: KV, 60% Reads - Concurrency: 256

CockroachDB

Workload: KV, 95% Reads - Concurrency: 256

CockroachDB

Workload: KV, 50% Reads - Concurrency: 256

CockroachDB

Workload: KV, 50% Reads - Concurrency: 128

CockroachDB

Workload: KV, 60% Reads - Concurrency: 128

CockroachDB

Workload: KV, 10% Reads - Concurrency: 128

CockroachDB

Workload: KV, 95% Reads - Concurrency: 128

JPEG XL libjxl

Input: JPEG - Quality: 80

JPEG XL libjxl

Input: PNG - Quality: 80

uvg266

Video Input: Bosphorus 4K - Video Preset: Slow

Blender

Blend File: BMW27 - Compute: CPU-Only

CockroachDB

Workload: MoVR - Concurrency: 256

CockroachDB

Workload: MoVR - Concurrency: 1024

CockroachDB

Workload: MoVR - Concurrency: 128

CockroachDB

Workload: MoVR - Concurrency: 512

Xmrig

Variant: Wownero - Hash Count: 1M

uvg266

Video Input: Bosphorus 4K - Video Preset: Medium

nginx

Connections: 1000

nginx

Connections: 500

nginx

Connections: 200

nginx

Connections: 100

nginx

Connections: 20

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 512

OpenRadioss

Model: Cell Phone Drop Test

JPEG XL libjxl

Input: JPEG - Quality: 90

JPEG XL libjxl

Input: PNG - Quality: 90

oneDNN

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

oneDNN

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

oneDNN

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

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

oneDNN

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

oneDNN

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

oneDNN

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

Timed Linux Kernel Compilation

Build: defconfig

TensorFlow

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

spaCy

Model: en_core_web_trf

spaCy

Model: en_core_web_lg

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

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: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face 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: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

OpenVINO

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

libavif avifenc

Encoder Speed: 2

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

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 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