Internet of Things has become more and more popular in recent years. Smart devices can send messages through the network, transfer a large variety of data, improve the quality of various services and security. With the rise of edge computing, many different IoT systems have been developed, and we now have the possibility to use them to work with deep neural networks. To make proper use of these devices, we need to know what are their limits and possibilities, and because each system has its unique characteristics, what can help is a series of experiments that make them in comparison under the same circumstances, to understand what are the advantages and disadvantages for each configuration.