In this study, a finite-time adaptive prescribed performance control scheme is investigated for multi-input multi-output systems with input friction and backlash. The novel fixed-time neuro-disturbance observer (FTNDO) and fixed-time command filter are constructed to ensure fast response of the controlled systems with settling time being determined regardless of initial states. The uncertainties caused by unknown smooth functions are handled by neural network approximators, then input friction and system disturbances are accurately compensated by FTNDO. Meanwhile, the employed fixed-time command filter is utilized to avoid repeated differentiation of virtual control signals during controller design. In particular, prescribed convergence of tracking errors for multi-input multi-output nonlinear system is ensured by finite-time performance function. Finally, simulation and experiment results demonstrate the feasibility and effectiveness of the proposed control strategy.