Finite element analysis (FEA) is a crucial tool in biomechanical simulations, enabling the study of complex biological systems under various conditions. FEBio, an open-source FEA software designed for biomechanics and biomedical research, is widely used for such applications. However, its computational performance across different workloads remains an important consideration for researchers seeking efficiency and scalability. This thesis evaluates FEBio’s performance using system-level metrics, profiling tools, and comparative analysis across biomechanical simulation workloads. A case study on a finite element model of the human eye, from the glaucoma treatment study that inspired this project, provides a practical demonstration of FEBio’s computational behavior under realistic conditions. By identifying performance bottlenecks, analyzing their underlying causes, and proposing potential optimizations, this research contributes to improving the efficiency and resource utilization of biomechanical simulations. Furthermore facilitating more efficient and computationally feasible studies in the fields of bioengineering and biophysics.