Abstract: It discloses an ultra-low power keyword spotting neural network circuit and a method for mapping data. A neural network model used is a depthwise separable convolutional neural network, of which a weight value and an intermediate activation value are both binarized during training, to obtain a lightweight neural network model with a small memory size and a small computation quantity. The circuit is designed on the basis of a data processing unit array, utilizes a memory module to memorize a weight parameter and intermediate data of a keyword spotting neural network, data control and accuracy configuration of the data processing unit array are completed by means of a control module and a data mapping module, and the data processing unit array performs a neural network computation with hybrid accuracy; and the method for mapping the data configures.