The benchmark includes a custom Convolutional Neural Network (CNN) based on the AlexNet architecture. It is designed to test the performance of basic CNN operations and is trained on randomly generated training data. It contains two Convolutional layers, which are followed by Max Pooling and Dropout layers, and one fully connected layer.