The technical study includes performance results for two types of metrics:

Total number of images processed per second

Average total time of processing on a batch.

In addition, the following values—derived from the metrics above—were measured:

Time normed to the number of computing nodes and workers

Speed of image processing (samples per second) normed to the number of computing nodes and workers

The performance benchmark was carried out employing the Inception architecture as a neural network model and the Camelyon16 data as a training set.