We investigate in this paper the assessment of the energy efficiency of the service categories provided by a network equipment. We consider five service categories, namely, Streaming, Web, Download, other data services and Voice. We consider two scenarios: a case when the network equipment has no sleep mode feature, and another one when it is put into sleep mode during idle periods. We share the responsibility of the service categories in the power consumption of the network equipment, which represents the share of the power consumption imputed to each service category, and then compute the energy efficiency as the ratio of the traffic throughput to the imputed power consumption. The power consumption of a network equipment is composed of two components: a variable component that is consumed proportionally to its load, and a fixed component consumed irrespective of the traffic. We share the former among the service categories proportionally to their traffic proportions. The latter is shared according to the scenario. In the first one, it is shared with our Shapley-based model introduced in a previous work [1]. In the second scenario, we introduce a new sharing model, also based on Shapley value, which takes into account the sleep mode feature. Our results, applied to a real dataset extracted from an operational network in Europe, show that the former sharing model is better than the sleep-mode-oriented model in terms of fairness, although it does not consider the sleep mode feature of the equipment