What does FLOPs-per-Second measure in the context of computing?

FLOPs-per-Second specifically measures the number of floating-point operations a system can perform in one second. This metric is particularly significant in the realm of high-performance computing and data-intensive applications, such as scientific computing, machine learning, and simulations. Floating-point operations are essential for tasks that require a high level of precision in calculations, such as numerical analysis and various algorithms in AI and graphics.

By quantifying computational performance in terms of FLOPs, engineers and researchers can better assess the capabilities of processors, GPUs, and entire computing systems, allowing for informed decisions regarding hardware selection for demanding computational tasks. This measure helps in understanding how fast and efficiently a system can execute complex mathematical computations that are common in analytics and AI.

The other options refer to different contexts. For example, frames per second pertains to video processing and does not address computational performance in calculations. Functions evaluated and file operations performed are not standardized metrics used in the same context as FLOPs, focusing instead on different aspects of computing. Thus, the correct choice captures the essence of computational performance relating to floating-point calculations accurately.