Personalized head-related transfer functions (HRTFs) are essential in systems aiming for realistic binaural sound reproduction. HRTFs are typically acoustically measured, but they can also be numerically calculated provided an accurate 3D geometry of the listener’s head and pinnae. A parametric pinna model (PPM) represents a tool to personalize a well-defined 3D mesh of a generic pinna to the actual geometry of the listener’s ear. However, the PPM-parameter ranges covering the variety of human ears are yet unclear. In this work, we describe a previously introduced PPM and its key features. We further outline methods for an evaluation of its parameter ranges. The insights gained can be used to create various datasets of pathological and non-pathological ears and train neural networks to automatically parametrise the PPM to describe the individual geometries of human ears.