The aim of this paper is to evaluation of the rock properties and driller specifications to estimate the rate of drilling (DR) for diamond drillers. To estimate the DR, raw data from 63 diamond drilling cases were collected and evaluated to obtain the dataset for the aim. Dataset has two parts; rock properties include uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), density (D) and brittleness (BI). Also driller specifications that is composed of thrust (Th), rotational speed rate (RPM) and bit diameter (BitD) herein. After dataset was constructed, simple, multiple linear and non-linear regression analyses were carried out to predict the DR. Concluding remark is that the estimation of DR are multiple nonlinear regression task to achieve the best model to predict the drilling rate of diamond driller. It is found that BI, D, Th, RPM and BitD have a great effect on the DR that can be estimated as a function of rock properties and driller specifications with correlation coefficient (r) of 0.89.