Spin waves propagating through a stripe domain structure and reservoir computing with their spin dynamics have been numerically studied, focusing on the relation between physical phenomena and computing capabilities. Our system utilizes a spin-wave-based device that has a continuous magnetic garnet film and one-input/72-output electrodes on top. To control spatially distributed spin dynamics, a stripe magnetic domain structure and amplitude-modulated triangular input waves were used. The spatially arranged electrodes detected spin vector outputs with various nonlinear characteristics that were leveraged for reservoir computing. By moderately suppressing nonlinear phenomena, our system achieves 100% prediction accuracy in temporal exclusive-OR problems with a delay step up to 5. At the same time, it shows perfect inference in delay tasks with a delay step more than 7 and its memory capacity has a maximum value of 21. This study demonstrated that our spin-wave-based reservoir computing has a high potential for edge-computing applications and also can offer a rich opportunity for further understanding the underlying nonlinear physics.