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&sro.

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: S3D

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Triad

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: FFT SP

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Reduction

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: GEMM SGEMM_N

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Max SP Flops

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Bus Speed Download

SHOC Scalable HeterOgeneous Computing

Target: OpenCL - Benchmark: Bus Speed Readback

miniFE

Problem Size: Small

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

CP2K Molecular Dynamics

Input: Fayalite-FIST

NAMD

ATPase Simulation - 327,506 Atoms

Dolfyn

Computational Fluid Dynamics

Nebular Empirical Analysis Tool

FFTW

Build: Stock - Size: 1D FFT Size 32

FFTW

Build: Stock - Size: 2D FFT Size 32

FFTW

Build: Stock - Size: 1D FFT Size 4096

FFTW

Build: Stock - Size: 2D FFT Size 4096

FFTW

Build: Float + SSE - Size: 1D FFT Size 32

FFTW

Build: Float + SSE - Size: 2D FFT Size 32

FFTW

Build: Float + SSE - Size: 1D FFT Size 4096

FFTW

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

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

ACES DGEMM

Sustained Floating-Point Rate

Himeno Benchmark

Poisson Pressure Solver

Numpy Benchmark

DeepSpeech

Acceleration: CPU

R Benchmark

RNNoise

ASKAP

Test: tConvolve MT - Gridding

ASKAP

Test: tConvolve MT - Degridding

ASKAP

Test: tConvolve OpenMP - Gridding

ASKAP

Test: tConvolve OpenMP - Degridding

ASKAP

Test: Hogbom Clean OpenMP

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenCL - Kernel: Points2Image

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

TensorFlow Lite

Model: SqueezeNet

TensorFlow Lite

Model: Inception V4

TensorFlow Lite

Model: NASNet Mobile

TensorFlow Lite

Model: Mobilenet Float

TensorFlow Lite

Model: Mobilenet Quant

TensorFlow Lite

Model: Inception ResNet V2

GNU Octave Benchmark

Mobile Neural Network

Model: mobilenetV3

Mobile Neural Network

Model: squeezenetv1.1

Mobile Neural Network

Model: resnet-v2-50

Mobile Neural Network

Model: SqueezeNetV1.0

Mobile Neural Network

Model: MobileNetV2_224

Mobile Neural Network

Model: mobilenet-v1-1.0

Mobile Neural Network

Model: inception-v3

NCNN

Target: CPU - Model: mobilenet

NCNN

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

NCNN

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

NCNN

Target: CPU - Model: shufflenet-v2

NCNN

Target: CPU - Model: mnasnet

NCNN

Target: CPU - Model: efficientnet-b0

NCNN

Target: CPU - Model: blazeface

NCNN

Target: CPU - Model: googlenet

NCNN

Target: CPU - Model: vgg16

NCNN

Target: CPU - Model: resnet18

NCNN

Target: CPU - Model: alexnet

NCNN

Target: CPU - Model: resnet50

NCNN

Target: CPU - Model: yolov4-tiny

NCNN

Target: CPU - Model: squeezenet_ssd

NCNN

Target: CPU - Model: regnety_400m

NCNN

Target: Vulkan GPU - Model: mobilenet

NCNN

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

NCNN

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

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

NCNN

Target: Vulkan GPU - Model: mnasnet

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

NCNN

Target: Vulkan GPU - Model: blazeface

NCNN

Target: Vulkan GPU - Model: googlenet

NCNN

Target: Vulkan GPU - Model: vgg16

NCNN

Target: Vulkan GPU - Model: resnet18

NCNN

Target: Vulkan GPU - Model: alexnet

NCNN

Target: Vulkan GPU - Model: resnet50

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

NCNN

Target: Vulkan GPU - Model: regnety_400m

TNN

Target: CPU - Model: DenseNet

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

PlaidML

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

PlaidML

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

ECP-CANDLE

Benchmark: P1B2

ECP-CANDLE

Benchmark: P3B1

ECP-CANDLE

Benchmark: P3B2

ONNX Runtime

Model: yolov4 - Device: CPU

ONNX Runtime

Model: fcn-resnet101-11 - Device: CPU

ONNX Runtime

Model: shufflenet-v2-10 - Device: CPU

ONNX Runtime

Model: super-resolution-10 - Device: CPU

Mlpack Benchmark

Benchmark: scikit_ica

Mlpack Benchmark

Benchmark: scikit_qda

Mlpack Benchmark

Benchmark: scikit_svm

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

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

PyHPC Benchmarks

Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State