This paper presents a new programming paradigm named Notification-Oriented Paradigm (NOP) and analyses the per-formance aspects of NOP programs by means of an experiment. NOP provides a new manner to conceive, structure, and execute software, which would allow better performance, causal-knowledge organization, and decoupling than standard solutions based upon usual paradigms. These paradigms are ... [Show full abstract] essentially Imperative Paradigm (IP) and Declarative Para-digm (DP). In short, DP solutions are considered easier to use than IP solutions due to the concept of high-level pro-gramming. However, they are considered slower in execution and less flexible in development. Anyway, both para-digms present similar drawbacks such as redundant causal-evaluation and strongly coupled entities, which decrease the software performance and the processing distribution feasibility. These problems exist due to an orientation to a mono-lithic inference mechanism based upon sequential evaluation by searching on passive computational entities. NOP pro-poses another way to structure software and make its inferences, which is based upon small, collaborative, and decoup-led computational entities whose interaction happens through precise notifications. In this context, this paper presents a quantitative comparison between two equivalent implementations of a computer game simulator (Pacman simulator), one developed according to the principles of Object-Oriented Paradigm (OOP/IP) in C++ and other developed accord-ing to the principles of NOP. The results obtained from the experiments demonstrate, however, a quite lower perform-ance of NOP implementation. This happened because NOP applications are still developed using a framework based on C++. Besides, the paper shows that optimizations in the NOP framework improve NOP program performance, thereby evidencing the necessity of developing a NOP language/compiler.