This project is aiming to benchmark the muon momentum estimation performance of Fully Connected Neural Networks (FCNN), Convolutional Neural Networks (CNN), and Graph Neural Networks (GNN), on the prompt and displaced muon samples detected by CSC stations at CMS to aid trigger system's transverse momentum (pT) muon estimation.