It depends on your model and overall training, i.e.:

is this result giving the training, evaluation, or final test accuracy
how reproducible is this result (i.e. are you always seeing the difference in accuracy using different seeds)
how much hyper-parameter turning did you apply (learning rate, model architecture, etc.) or did you use a “static” setup?