eo 2022 benchmarks new cpus

Benchmarks for a future article on Phoronix.

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

miniBUDE

Implementation: OpenMP - Input Deck: BM1

miniBUDE

Implementation: OpenMP - Input Deck: BM1

nekRS

Input: TurboPipe Periodic

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

OpenRadioss

Model: Bumper Beam

OpenRadioss

Model: Cell Phone Drop Test

OpenRadioss

Model: Bird Strike on Windshield

OpenRadioss

Model: Rubber O-Ring Seal Installation

OpenRadioss

Model: INIVOL and Fluid Structure Interaction Drop Container

Xmrig

Variant: Monero - Hash Count: 1M

Xmrig

Variant: Wownero - Hash Count: 1M

JPEG XL libjxl

Input: PNG - Quality: 80

JPEG XL libjxl

Input: PNG - Quality: 90

JPEG XL libjxl

Input: JPEG - Quality: 80

JPEG XL libjxl

Input: JPEG - Quality: 90

JPEG XL libjxl

Input: PNG - Quality: 100

JPEG XL libjxl

Input: JPEG - Quality: 100

JPEG XL Decoding libjxl

CPU Threads: 1

JPEG XL Decoding libjxl

CPU Threads: All

QuadRay

Scene: 1 - Resolution: 4K

QuadRay

Scene: 2 - Resolution: 4K

QuadRay

Scene: 3 - Resolution: 4K

QuadRay

Scene: 5 - Resolution: 4K

QuadRay

Scene: 1 - Resolution: 1080p

QuadRay

Scene: 2 - Resolution: 1080p

QuadRay

Scene: 3 - Resolution: 1080p

QuadRay

Scene: 5 - Resolution: 1080p

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

SVT-AV1

Encoder Mode: Preset 13 - Input: Bosphorus 1080p

OpenVKL

Benchmark: vklBenchmark ISPC

OpenVKL

Benchmark: vklBenchmark Scalar

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 44100 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 512

Stargate Digital Audio Workstation

Sample Rate: 96000 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 192000 - Buffer Size: 1024

Stargate Digital Audio Workstation

Sample Rate: 480000 - Buffer Size: 1024

libavif avifenc

Encoder Speed: 0

libavif avifenc

Encoder Speed: 2

libavif avifenc

Encoder Speed: 6

libavif avifenc

Encoder Speed: 6, Lossless

libavif avifenc

Encoder Speed: 10, Lossless

Timed Linux Kernel Compilation

Build: defconfig

Timed Linux Kernel Compilation

Build: allmodconfig

Y-Cruncher

Pi Digits To Calculate: 1B

Y-Cruncher

Pi Digits To Calculate: 500M

oneDNN

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

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

oneDNN

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

oneDNN

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

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

oneDNN

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

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

CockroachDB

Workload: MoVR - Concurrency: 128

CockroachDB

Workload: MoVR - Concurrency: 256

CockroachDB

Workload: MoVR - Concurrency: 512

CockroachDB

Workload: MoVR - Concurrency: 1024

CockroachDB

Workload: KV, 10% Reads - Concurrency: 128

CockroachDB

Workload: KV, 10% Reads - Concurrency: 256

CockroachDB

Workload: KV, 10% Reads - Concurrency: 512

CockroachDB

Workload: KV, 50% Reads - Concurrency: 128

CockroachDB

Workload: KV, 50% Reads - Concurrency: 256

CockroachDB

Workload: KV, 50% Reads - Concurrency: 512

CockroachDB

Workload: KV, 60% Reads - Concurrency: 128

CockroachDB

Workload: KV, 60% Reads - Concurrency: 256

CockroachDB

Workload: KV, 60% Reads - Concurrency: 512

CockroachDB

Workload: KV, 95% Reads - Concurrency: 128

CockroachDB

Workload: KV, 95% Reads - Concurrency: 256

CockroachDB

Workload: KV, 95% Reads - Concurrency: 512

CockroachDB

Workload: KV, 10% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 50% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 60% Reads - Concurrency: 1024

CockroachDB

Workload: KV, 95% Reads - Concurrency: 1024

TensorFlow

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