HPC benchmark- POSSIBLE BAD DATA

Intel Core i7-12700K testing with a MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) and Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB on Pop 21.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2112081-TJ-2112076TJ12&grr&sro.

FFTW

Build: Float + SSE - Size: 2D FFT Size 4096

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

PlaidML

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

TNN

Target: CPU - Model: DenseNet

ONNX Runtime

Model: yolov4 - Device: CPU

ECP-CANDLE

Benchmark: P3B1

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

OpenCV

Test: DNN - Deep Neural Network

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 - Model: shufflenet-v2

NCNN

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

NCNN

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

NCNN

Target: CPU - Model: mobilenet

ONNX Runtime

Model: shufflenet-v2-10 - Device: CPU

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing

TensorFlow Lite

Model: NASNet Mobile

FFTW

Build: Stock - Size: 2D FFT Size 4096

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Max SP Flops

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

Numpy Benchmark

ECP-CANDLE

Benchmark: P3B2

PyHPC Benchmarks

Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing

CP2K Molecular Dynamics

Input: Fayalite-FIST

PlaidML

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

PyHPC Benchmarks

Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing

Mlpack Benchmark

Benchmark: scikit_qda

TensorFlow Lite

Model: SqueezeNet

ONNX Runtime

Model: super-resolution-10 - Device: CPU

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

PyHPC Benchmarks

Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenCL - Kernel: Points2Image

TensorFlow Lite

Model: Inception V4

NAMD

ATPase Simulation - 327,506 Atoms

NCNN

Target: Vulkan GPU - Model: regnety_400m

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

NCNN

Target: Vulkan GPU - Model: resnet50

NCNN

Target: Vulkan GPU - Model: alexnet

NCNN

Target: Vulkan GPU - Model: resnet18

NCNN

Target: Vulkan GPU - Model: vgg16

NCNN

Target: Vulkan GPU - Model: googlenet

NCNN

Target: Vulkan GPU - Model: blazeface

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

NCNN

Target: Vulkan GPU - Model: mnasnet

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

NCNN

Target: Vulkan GPU - Model: mobilenet

TensorFlow Lite

Model: Inception ResNet V2

PyHPC Benchmarks

Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: S3D

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: tConvolve MT - Gridding

TensorFlow Lite

Model: Mobilenet Float

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing

TensorFlow Lite

Model: Mobilenet Quant

PyHPC Benchmarks

Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing

Himeno Benchmark

Poisson Pressure Solver

Nebular Empirical Analysis Tool

Mlpack Benchmark

Benchmark: scikit_ica

PyHPC Benchmarks

Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State

ACES DGEMM

Sustained Floating-Point Rate

miniFE

Problem Size: Small

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing

Kripke

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

PyHPC Benchmarks

Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing

DeepSpeech

Acceleration: CPU

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: GEMM SGEMM_N

ASKAP

Test: Hogbom Clean OpenMP

TNN

Target: CPU - Model: MobileNet v2

Mlpack Benchmark

Benchmark: scikit_svm

PyHPC Benchmarks

Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State

R Benchmark

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing

RNNoise

TNN

Target: CPU - Model: SqueezeNet v1.1

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State