  A benchmark test was conducted for a new symplectic integration method
developed by Molei Tao. The method raises interest due to its explicit
evolution equation, with applicability to both separable and non-separable
Hamiltonian systems, and an easy-to-implement, easily generalizable algorithm.
In order to compare the method with other, more well-known methods, namely
St\"{o}rmer-Verlet and Runge-Kutta, we conducted a series of benchmark tests
comparing their performance in terms of CPU time, system invariants functions
conservation, and numerical symplectic area conservation. Overall, it was found
that despite being slower than the more optimized Runge-Kutta-Cash-Karp, Tao's
method presents a similar performance to St\"{o}rmer-Verlet, with the extra
perk of being more generic and not requiring the use of implicit equations for
the evolution of the equations of motion.
