That looks like an error.
Usually in a vanilla neural network, your training accuracy might be a bit higher than the validation accuracy.
However, since Dropout prunes the model, the training accuracy might be lower than the evaluation accuracy.
In your example it looks like the eval accuracy is even worse than random change (accuracy ~ 0.1).
Could you post your model and training routine?