This research dedicates its attention to analyze Vedic multiplier simulations through Urdhva-Tiryagbhyam Sutra-based designs for operands between 2-bit and 64-bit besides traditional VLSI multipliers. Because of its parallelized multiplication capabilities and high-speed performance the Urdhva-Tiryagbhyam Sutra algorithm receives much attention for arithmetic unit implementation. Larger operand sizes require difficulty-instigating hardware development which incurs additional power usage and produces time delay. A performance measurement tradeoff analysis is done here through systematic examination of Urdhva-Tiryagbhyam Sutra for partial products which operate at bit sizes from 2 to 4 to 8 to 16 to 32 to 64 bits. The Urdhva-Tiryagbhyam Sutra demonstrates adaptability through a power usage study which evaluates its performance relative to other multiplication techniques. Simulation results show that smaller operand ranges from 2 to 8 bits deliver higher efficiency with reduced implementation area although power and area usage increases with larger bit designs. The reported work delivers essential knowledge about Vedic multiplier optimization strategies that help designers implement efficient VLSI systems with minimal power consumption for signal processing applications and cryptography as well as AI accelerators and other digital fields.