Research on computing power test of car-level chips based on neural network algorithm

With the rapid development of intelligence, the function of the whole vehicle is becoming more and more complex. More and more cameras, millimeter-wave radars, laser radars, ultrasonic sensors, and various other data acquisition devices are equipped on vehicles to support the evolution of autonomous driving capabilities. Compared with the wave of computing chip research and development in full swing, the development of computing chip testing and certification capabilities has seriously lagged behind. In this paper, a set of computing power test system is built based on TDA4VM development board. This method measures the actual computing power of the chip under the premise that the AI computing unit of the computing chip is squeezed to the maximum extent. It provides a new method for the calculation force test of the car-level computing chip. It forms an independent and controllable test and evaluation ability of the vehicle computing chip, and supports the chip selection of the car manufacturers.