The energy barriers observed in torsion energy profiles are a measure of the strength of steric hindrance or strong intramolecular interactions that prevent certain conformations. Thus, accurately capturing torsion profiles is relevant for understanding molecular recognition, binding, and other interactions that occur in complex systems. Our aim here is to pick an accurate and computationally efficient QM level of theory to train the valence parameters in a general small molecule force field. For this purpose, single point energies were evaluated at different levels of theory for comparison at the benchmark geometries, and the RMSE in relative energies was tabulated. Single point energies were evaluated at the same geometry to ensure parity between the methods since performing a geometry optimization with each of the methods will result in minor differences in final geometries, and sometimes TorsionDrive may push them to a completely different minima. SI Table lists the RMSE in torsion profile energies for each of the molecules considered in this benchmark set with respect to the reference level of theory, CCSD(T)/[haTQZ; δ:haDZ].