EPYC Tyan Server

AMD EPYC 7543 32-Core testing with a TYAN S8036GM2NE-LE (V2.00.B21 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2106220-IB-2106212IB87&grs&rdt.

NAS Parallel Benchmarks

Test / Class: LU.C

NAS Parallel Benchmarks

Test / Class: SP.C

NAS Parallel Benchmarks

Test / Class: FT.C

NAS Parallel Benchmarks

Test / Class: CG.C

VP9 libvpx Encoding

Speed: Speed 5 - Input: Bosphorus 4K

NAS Parallel Benchmarks

Test / Class: IS.D

Timed Wasmer Compilation

Time To Compile

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

libavif avifenc

Encoder Speed: 10

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

Timed LLVM Compilation

Build System: Unix Makefiles

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

Timed LLVM Compilation

Build System: Ninja

Numenta Anomaly Benchmark

Detector: EXPoSE

Timed Node.js Compilation

Time To Compile

Mobile Neural Network

Model: inception-v3

Timed Linux Kernel Compilation

Time To Compile

libavif avifenc

Encoder Speed: 10, Lossless

Timed Godot Game Engine Compilation

Time To Compile

Mobile Neural Network

Model: squeezenetv1.1

VP9 libvpx Encoding

Speed: Speed 0 - Input: Bosphorus 4K

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

Timed Mesa Compilation

Time To Compile

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

libavif avifenc

Encoder Speed: 6, Lossless

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

TNN

Target: CPU - Model: DenseNet

Mobile Neural Network

Model: SqueezeNetV1.0

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

Xmrig

Variant: Monero - Hash Count: 1M

TNN

Target: CPU - Model: MobileNet v2

Xmrig

Variant: Wownero - Hash Count: 1M

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenVKL

Benchmark: vklBenchmark

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

TNN

Target: CPU - Model: SqueezeNet v2

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

Blender

Blend File: Barbershop - Compute: CPU-Only

BRL-CAD

VGR Performance Metric

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

Embree

Binary: Pathtracer ISPC - Model: Crown

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenFOAM

Input: Motorbike 30M

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

TensorFlow Lite

Model: SqueezeNet

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

Blender

Blend File: BMW27 - Compute: CPU-Only

TNN

Target: CPU - Model: SqueezeNet v1.1

TensorFlow Lite

Model: Mobilenet Float

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

TensorFlow Lite

Model: Inception V4

ASTC Encoder

Preset: Exhaustive

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

Blender

Blend File: Classroom - Compute: CPU-Only

TensorFlow Lite

Model: Mobilenet Quant

NWChem

Input: C240 Buckyball

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenFOAM

Input: Motorbike 60M

NAMD

ATPase Simulation - 327,506 Atoms

TensorFlow Lite

Model: Inception ResNet V2

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenVINO

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

OpenVINO

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

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

GPAW

Input: Carbon Nanotube

Kripke

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: MobileNetV2_224

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: mobilenetV3

TensorFlow Lite

Model: NASNet Mobile

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OSPray

Demo: Magnetic Reconnection - Renderer: Path Tracer

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

miniFE

Problem Size: Small

NAS Parallel Benchmarks

Test / Class: MG.C

NAS Parallel Benchmarks

Test / Class: EP.D

NAS Parallel Benchmarks

Test / Class: BT.C

High Performance Conjugate Gradient

Phoronix Test Suite v10.8.4