The usefulness of low/adaptive precision is being discussed mainly in deep learning to reduce computational time and power consumption. In order to use low/adaptive precision in computer simulations, it is also necessary to discuss the impact of decreased computation accuracy. This talk discusses the use of low/adaptive precision on an ICCG iterative method by evaluating an impact on a convergence rate and reducing computational time.