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&sor.
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