Abstract: The energy efficiency of cell sites is of increasing importance due to the proliferation of wireless communication and the energy-intensive nature of their operation. Telecommunication macro cell sites provide coverage over large areas and contain various equipment, such as base stations, antennas, radio frequency (RF) components, transmission systems, and power infrastructure. These sites require active cooling elements controlled by microprocessors, making their energy efficiency an essential issue to address. The Power Usage Effectiveness (PUE) metric is a widely accepted assessment for energy efficiency within data centers. It has been applied in numerous studies, but there is a significant gap in research regarding its application in telecommunication macrocell sites. Due to the potential applications of PUE beyond data centers, this study proposes to extend this metric to telecommunications macrocell sites. In this study, the PUE-based operational efficiencies of telecommunication macro cell sites in the Philippines are determined using neurofuzzy inference method based on the collected data, which includes total grid consumption, genset AC consumption, facility power consumption, and DC power consumption. The study utilized data gathered from telecommunication macrocell sites situated in various regions of the Philippines, namely North Luzon, South Luzon, Visayas, and Mindanao. The study considered four different categories of telecom macro cell sites, namely Class A, B, Cl, and C2. A Sugeno type adaptive neuro-fuzzy inference (ANFIS) model is constructed based on exhaustive search using the two most influential input variables. A Root Mean Square Error analysis of the proposed model shows promising results.