Recent development of automated active-space selection schemes has made it possible to perform large-scale benchmarking of multireference methods. Recently, we have published a large-scale benchmarking of MC-PDFT and n-electron valence perturbation theory (NEVPT2) on the QUESTDB data set which has over 400 vertical excitations from small-to-medium sized main group molecules. This benchmark showed that MC-PDFT performs similarly to NEVPT2, despite being significantly cheaper and less sensitive to basis set size. All of these excitations are far enough from conical intersections/avoided crossings and represent an ideal data set to assess how L-PDFT performs on predicting vertical excitations when the states are well-separated and state-interaction effects are negligible.