Using a large database of previously converged wave functions enabled by automated active space selection, we were able to efficiently benchmark L-PDFT on the QUESTDB data set. We find that L-PDFT performs similarly to MC-PDFT on a wide range of over 400 vertical excitations, and even on excitations between states of different spatial or spin symmetry. As compared to other MS-PDFT methods, L-PDFT performs the best across a wide range of systems on computing vertical excitations (Figure and Hennefarth et al. ) and potential energy surfaces. Furthermore, L-PDFT scales as a constant with the number of states in the model space: it only requires a single DFT quadature calculation irregardless of the number of states. This makes L-PDFT an attractive method for computing vertical excitation energies in general over MC-PDFT.