Using a single thread of an Intel Skylake CPU clocked at 1GHz, emle-engine currently runs the ADP system (ADP + solvent box, 22 + 5844 atoms) at ~145 ps/day, with ADP modelled using ANI-2x (and sander for propagation). In comparison, the performance of reference DFT/MM calculations is 0.44 ps/day, approximately 300-fold slower than ML/MM MD with emle-engine. Performance-wise, this makes our current implementation close to that of QM/MM with efficient semiempirical methods. For example, GFN2-xTB via the external ORCA interface (in combination with sander) gives a performance of ~290 ps/day on the same hardware. For larger MLP subsystems, we expect emleengine to take better advantage of parallelization and become more efficient than semiempirical QM methods.