Why does model accuracy drop after enabling dropout during inference by mistake?

Dropout randomly disables neurons, making predictions unstable if used during inference.

During training, dropout acts as regularization. During inference, it must be disabled to use full network capacity. If not, output becomes stochastic and unreliable.