Neural network inference on embedded devices will have an important industrial impact on our society. We introduce the EST primitive-based model to estimate the impact of a CNN on a microcontroller, regarding the latency, the power consumption and the needed memory space. Our model shows an average estimation error over 14 different frequencies of 13.66% on latency, 5.52% on power consumption and 2.09% on needed memory space.