Recently, the preference of users shifted the computational platform to resource constrained smartphone devices as users prefer to work while on the go. The shift of information access paradigm on smartphone devices demands high functionality applications to enrich user experience that as a result surges battery's charge consumption rate. Energy estimation schemes consider smartphone component's power measurement or code analysis methods for energy estimation of smartphone applications. This work assesses the performance overhead of existing dynamic analysis based energy estimation tools. It investigates estimation time, energy overhead, and resources consumption rate of existing estimation tools. It also analyzes the performance overhead of simulation/emulation based application profiling methods for smartphone applications. © 2018 Society for Modeling and Simulation (SCS) International.