Evaluating a Model Optimization Strategy

A development team is tasked with deploying a large language model on a fleet of mobile devices with limited memory and computational power. To make the model run efficiently, they apply a compression technique that converts the model's high-precision floating-point parameters (e.g., 32-bit) to a lower-precision integer format (e.g., 8-bit). Which of the following outcomes represents the most significant and likely trade-off for this optimization?

A team of engineers optimizes a large language model for faster performance by converting its parameters from a 32-bit floating-point representation to an 8-bit integer representation. Which statement best analyzes the fundamental reason this change leads to accelerated computation during inference?