In this paper, a single-MOSFET analog multiplier is proposed for classifying high-dimensional input data into multi-class output space with less power and higher accuracy than state-of-the-art mixed-signal linear classifiers. A high-resolution (i.e., multi-bit) multiplication is facilitated within a single-MOSFET by feeding the features and feature weights into, respectively, the body and gate inputs. High-resolution classifier that considers the decisions of the individual predictors is designed at 180 nm technology node and operates at 100 MHz in near/subthreshold region.