jatinchowdhury18 / RTNeural-compare

Comparing performance for neural network inferencing libraries in C++

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RTNeural Comparisons

This repository contains an executable for comparing the performance of C++ neural network inferencing engines. Currently, there are four inferencing engines being compared:

Results

All benchmarks results were obtained on a 2018 Mac Mini with an Intel(R) Core(TM) i7-8700B CPU @ 3.20GHz. The "Real-Time Factor" measurement assumes a sample rate of 48 kHz.

Dense:

Conv1D:

GRU:

LSTM:

Activations:

Tanh:

ReLU:

Sigmoid:

About

Comparing performance for neural network inferencing libraries in C++


Languages

Language:C++ 69.8%Language:Python 17.6%Language:CMake 8.4%Language:Shell 4.2%