m600_7940hs-96gb-5600mhz-16gb-igpu-performance-tpd-2tb-sn850x-2023-09-01-2

AMD Ryzen 9 7940HS testing with a Win element M600 (SR500P03_P5C2V07 BIOS) and AMD Phoenix1 16GB on EndeavourOS rolling via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2309028-NE-M6007940H04&grt.

DeepSpeech

Acceleration: CPU

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: CPU - Model: vision_transformer

NCNN

Target: CPU - Model: FastestDet

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

NCNN

Target: Vulkan GPU - Model: vision_transformer

NCNN

Target: Vulkan GPU - Model: FastestDet

Numenta Anomaly Benchmark

Detector: KNN CAD

Numenta Anomaly Benchmark

Detector: Relative Entropy

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

Numenta Anomaly Benchmark

Detector: Contextual Anomaly Detector OSE

Numpy Benchmark

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

oneDNN

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

oneDNN

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

oneDNN

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

oneDNN

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

oneDNN

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

oneDNN

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

oneDNN

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

RNNoise

Scikit-Learn

Benchmark: GLM

Scikit-Learn

Benchmark: Tree

Scikit-Learn

Benchmark: Lasso

Scikit-Learn

Benchmark: Sparsify

Scikit-Learn

Benchmark: Plot Ward

Scikit-Learn

Benchmark: MNIST Dataset

Scikit-Learn

Benchmark: SGD Regression

Scikit-Learn

Benchmark: SGDOneClassSVM

Scikit-Learn

Benchmark: Plot Fast KMeans

Scikit-Learn

Benchmark: Plot Hierarchical

Scikit-Learn

Benchmark: Plot OMP vs. LARS

Scikit-Learn

Benchmark: Feature Expansions

Scikit-Learn

Benchmark: TSNE MNIST Dataset

Scikit-Learn

Benchmark: Isotonic / Logistic

Scikit-Learn

Benchmark: Hist Gradient Boosting

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

Phoronix Test Suite v10.8.5