This work introduces a novel approach that significantly improves the performance of PINN potentials. The developed PINN potential for body-centered cubic (BCC) iron demonstrates exceptional accuracy in property predictions while boasting remarkable computational efficiency. Its performance overcomes both 12-MPI CPU-only ML potential and GPU-accelerated ML potential by achieving speedups of 168x and 22x, respectively.