Ubuntu 22.04 Server Benchmarks

AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2209132-NE-UBUNTU22004&rdt&grw.

LZ4 Compression

Compression Level: 3 - Compression Speed

LZ4 Compression

Compression Level: 3 - Decompression Speed

LZ4 Compression

Compression Level: 9 - Compression Speed

LZ4 Compression

Compression Level: 9 - Decompression Speed

ctx_clock

Context Switch Time

SPECjbb 2015

SPECjbb2015-Composite max-jOPS

SPECjbb 2015

SPECjbb2015-Composite critical-jOPS

DaCapo Benchmark

Java Test: Jython

DaCapo Benchmark

Java Test: Tradebeans

Renaissance

Test: Savina Reactors.IO

Renaissance

Test: Apache Spark Bayes

Renaissance

Test: Apache Spark PageRank

Renaissance

Test: In-Memory Database Shootout

Renaissance

Test: Finagle HTTP Requests

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

Renaissance

Test: ALS Movie Lens

Cython Benchmark

Test: N-Queens

BLAKE2

Basis Universal

Settings: UASTC Level 0

Basis Universal

Settings: UASTC Level 2

Basis Universal

Settings: UASTC Level 3

FLAC Audio Encoding

WAV To FLAC

LAME MP3 Encoding

WAV To MP3

BRL-CAD

VGR Performance Metric

Ngspice

Circuit: C2670

Ngspice

Circuit: C7552

ASTC Encoder

Preset: Medium

ASTC Encoder

Preset: Thorough

ASTC Encoder

Preset: Exhaustive

Etcpak

Benchmark: Single-Threaded - Configuration: ETC2

Etcpak

Benchmark: Multi-Threaded - Configuration: ETC2

Google Draco

Model: Church Facade

Google Draco

Model: Lion

JPEG XL Decoding libjxl

CPU Threads: 1

JPEG XL Decoding libjxl

CPU Threads: All

JPEG XL libjxl

Input: JPEG - Encode Speed: 7

JPEG XL libjxl

Input: JPEG - Encode Speed: 8

JPEG XL libjxl

Input: PNG - Encode Speed: 7

JPEG XL libjxl

Input: PNG - Encode Speed: 8

LibRaw

Post-Processing Benchmark

WebP2 Image Encode

Encode Settings: Default

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

WebP Image Encode

Encode Settings: Default

WebP Image Encode

Encode Settings: Quality 100

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

WebP Image Encode

Encode Settings: Quality 100, Lossless

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

Google SynthMark

Test: VoiceMark_100

SecureMark

Benchmark: SecureMark-TLS

Xmrig

Variant: Monero - Hash Count: 1M

Xmrig

Variant: Wownero - Hash Count: 1M

QuantLib

Graph500

Scale: 26

Graph500

Scale: 26

Graph500

Scale: 26

Graph500

Scale: 26

RELION

Test: Basic - Device: CPU

WRF

Input: conus 2.5km

LeelaChessZero

Backend: BLAS

LeelaChessZero

Backend: Eigen

Numpy Benchmark

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

GNU Octave Benchmark

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU - Executor: Standard

ONNX Runtime

Model: super-resolution-10 - Device: CPU - Executor: Standard

ONNX Runtime

Model: bertsquad-12 - Device: CPU - Executor: Standard

ONNX Runtime

Model: GPT-2 - Device: CPU - Executor: Standard

ONNX Runtime

Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard

TNN

Target: CPU - Model: DenseNet

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

TNN

Target: CPU - Model: SqueezeNet v2

Mlpack Benchmark

Benchmark: scikit_svm

Mlpack Benchmark

Benchmark: scikit_qda

Mlpack Benchmark

Benchmark: scikit_ica

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

High Performance Conjugate Gradient

NAS Parallel Benchmarks

Test / Class: BT.C

NAS Parallel Benchmarks

Test / Class: EP.C

NAS Parallel Benchmarks

Test / Class: EP.D

NAS Parallel Benchmarks

Test / Class: FT.C

NAS Parallel Benchmarks

Test / Class: LU.C

NAS Parallel Benchmarks

Test / Class: SP.B

NAS Parallel Benchmarks

Test / Class: SP.C

NAS Parallel Benchmarks

Test / Class: IS.D

NAS Parallel Benchmarks

Test / Class: MG.C

NAS Parallel Benchmarks

Test / Class: CG.C

Rodinia

Test: OpenMP CFD Solver

Rodinia

Test: OpenMP LavaMD

Rodinia

Test: OpenMP Leukocyte

Rodinia

Test: OpenMP HotSpot3D

NAMD

ATPase Simulation - 327,506 Atoms

oneDNN

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

oneDNN

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

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

oneDNN

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

oneDNN

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

oneDNN

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

Model: Age Gender Recognition Retail 0013 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

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: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenVINO

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Weld Porosity 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: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

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

OpenVINO

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

ASKAP

Test: tConvolve MPI - Degridding

ASKAP

Test: tConvolve MPI - Gridding

ASKAP

Test: Hogbom Clean OpenMP

ACES DGEMM

Sustained Floating-Point Rate

Pennant

Test: leblancbig

Pennant

Test: sedovbig

Algebraic Multi-Grid Benchmark

Kripke

LULESH

NWChem

Input: C240 Buckyball

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time