Neural network device and operating method of the same

A neural network device comprising:

• a digital-to-analog converter configured to convert a digital input to an analog input of either voltage or current;
• a cell array comprising a plurality of memory cells arranged in a plurality of bit lines and a plurality of word lines and configured to store a weight of a neural network, and configured to perform an operation on the analog input that is input through the word lines and output an analog output of any one of current and voltage, through the bit lines;
• an analog-to-digital converter configured to convert the analog output into a digital output;
• and
• at least one processor electrically connected to the digital-to-analog converter and the analog-to-digital converter and configured to control the digital input and the digital output,
• wherein the at least one processor is further configured to,
• based on a number of bits of the input signal and a digital-to-analog converter (DAC) bit resolution of the digital-to-analog converter, input one or more digital inputs including at least a portion of the input signal, to the digital-to-analog converter, and
• based on the number of bits of the input signal and a cell bit resolution of the plurality of memory cells, generate an output signal by using at least one of digital outputs corresponding to an output of the bit lines.