AMD Ryzen 5800X, 5800X3D, 5950X Linux Benchmarks

AMD EPYC 7702 64-Core testing with a Supermicro Super Server H12SSL-NT v1.02 (2.4 BIOS) and Tesla P40 24GB on Debian 12 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2408161-NE-2204253NE56&sor&grr.

Blender

Blend File: Barbershop - Compute: CPU-Only

LeelaChessZero

Backend: Eigen

LeelaChessZero

Backend: BLAS

Timed LLVM Compilation

Build System: Unix Makefiles

Timed LLVM Compilation

Build System: Ninja

ONNX Runtime

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

OSPray

Benchmark: particle_volume/scivis/real_time

Java Gradle Build

Gradle Build: Reactor

OSPray

Benchmark: particle_volume/pathtracer/real_time

Rodinia

Test: OpenMP HotSpot3D

ONNX Runtime

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

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

GPAW

Input: Carbon Nanotube

ONNX Runtime

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

ONNX Runtime

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

SecureMark

Benchmark: SecureMark-TLS

ONNX Runtime

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

Blender

Blend File: Classroom - Compute: CPU-Only

LuaRadio

Test: Complex Phase

LuaRadio

Test: Hilbert Transform

LuaRadio

Test: FM Deemphasis Filter

LuaRadio

Test: Five Back to Back FIR Filters

OpenCV

Test: Object Detection

KTX-Software toktx

Settings: UASTC 4 + Zstd Compression 19

Numpy Benchmark

OpenSSL

Algorithm: SHA256

OSPray Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer

Java JMH

Throughput

Appleseed

Scene: Emily

Rodinia

Test: OpenMP LavaMD

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

Radiance Benchmark

Test: Serial

NAS Parallel Benchmarks

Test / Class: BT.C

OSPray Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer

oneDNN

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

OSPray Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer

NAMD

ATPase Simulation - 327,506 Atoms

libavif avifenc

Encoder Speed: 0

TensorFlow Lite

Model: NASNet Mobile

OSPray

Benchmark: gravity_spheres_volume/dim_512/ao/real_time

NCNN

Target: CPU - Model: shufflenet-v2

NCNN

Target: CPU - Model: regnety_400m

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: resnet50

NCNN

Target: CPU - Model: alexnet

NCNN

Target: CPU - Model: resnet18

NCNN

Target: CPU - Model: vgg16

NCNN

Target: CPU - Model: googlenet

NCNN

Target: CPU - Model: blazeface

NCNN

Target: CPU - Model: efficientnet-b0

NCNN

Target: CPU - Model: mnasnet

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: CPU - Model: mobilenet

LZ4 Compression

Compression Level: 9 - Decompression Speed

LZ4 Compression

Compression Level: 9 - Compression Speed

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: tConvolve MT - Gridding

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OSPray Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

OpenFOAM

Input: Motorbike 30M

OSPray Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

OSPray Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer

OSPray Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

OSPray Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

NAS Parallel Benchmarks

Test / Class: EP.D

ONNX Runtime

Model: yolov4 - Device: CPU - Executor: Standard

LZ4 Compression

Compression Level: 3 - Decompression Speed

LZ4 Compression

Compression Level: 3 - Compression Speed

OSPray

Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time

Appleseed

Scene: Material Tester

Ngspice

Circuit: C2670

Selenium

Benchmark: Jetstream 2 - Browser: Google Chrome

OSPray Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer

Appleseed

Scene: Disney Material

srsRAN

Test: OFDM_Test

oneDNN

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

Blender

Blend File: BMW27 - Compute: CPU-Only

QuantLib

Timed Godot Game Engine Compilation

Time To Compile

TensorFlow Lite

Model: Inception V4

OpenCV

Test: Features 2D

Zstd Compression

Compression Level: 8 - Decompression Speed

Zstd Compression

Compression Level: 8 - Compression Speed

Ngspice

Circuit: C7552

Rodinia

Test: OpenMP Leukocyte

TensorFlow Lite

Model: Inception ResNet V2

oneDNN

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

oneDNN

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

oneDNN

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

Selenium

Benchmark: WASM collisionDetection - Browser: Google Chrome

GEGL

Operation: Cartoon

oneDNN

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

oneDNN

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

Selenium

Benchmark: WASM imageConvolute - Browser: Google Chrome

Selenium

Benchmark: StyleBench - Browser: Google Chrome

Facebook RocksDB

Test: Read While Writing

Mobile Neural Network

Model: inception-v3

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: MobileNetV2_224

Mobile Neural Network

Model: SqueezeNetV1.0

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: squeezenetv1.1

Mobile Neural Network

Model: mobilenetV3

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 4K

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

Timed Wasmer Compilation

Time To Compile

TensorFlow Lite

Model: Mobilenet Quant

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

libavif avifenc

Encoder Speed: 2

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

IndigoBench

Acceleration: CPU - Scene: Bedroom

IndigoBench

Acceleration: CPU - Scene: Supercar

TensorFlow Lite

Model: SqueezeNet

TensorFlow Lite

Model: Mobilenet Float

Stockfish

Total Time

GraphicsMagick

Operation: Sharpen

Facebook RocksDB

Test: Update Random