Addressing this parametrization problem, Grimme et al. developed a semiempirical TB method, GFN-xTB , designed to produce reasonable Geometries, Frequencies, and Non-covalent interactions for diverse chemical system consisting of elements from the periodic table, Z≤86. GFN-xTB is targeted to facilitate systems more than 1000 atoms; it has been successfully applied to proteins with 3000 atoms. The open-source release of GFN-xTB only recently added the capability of undertaking periodic optimizations, and previous benchmarking of GFN-xTB for MOFs has employed capped cut-out structures. The implementation of GFN-xTB in the AMS package and DFTB+ does permit periodic optimizations. In this paper, we evaluated the performance of GFN-xTB as implemented in AMS to optimized geometry structures of MOF from the 2014 and 2019 CoRE Databases.