Physical properties are most important in the design of equipment and processing systems. Among the physical properties, dimensions, mass, volume, surface area and projected area are the most important parameters in processing systems. Fruit grading according to weight offers appropriate packing patterns and lowers handling and packing expenses. In this study, physical properties of pomegranate were determined and mass modeling with some physical properties was applied based on: (1) single or multivariate regressions of pomegranate dimensions, (2) single variable regression of surface area, and single or multivariate regression of projected area and (3) estimating mass of pomegranate based on its volume. According to the results, the major diameter (a) and first projected area (A_p1) of pomegranate mass modeling are the most appropriate models in the first and second classifications, respectively. In the third classification, mass modeling based on measured volume (V) yielded the highest R² value (R² = 0.998), while assumed oblate spheroid shape (V_osp) and ellipsoid shape (V_ellip) yielded R² values of 0.942 and 0.918, respectively. From an economic perspective, the major diameter's linear relationship with pomegranate mass M=8.7004a – 470.33, R²=0.932 was used to justify an appropriate sizing and grading system.