From Boyd & Vandenberghe's Convex Optimization:
As I understand, all $x_i$ are scalar. So, when it says $A(x) \preceq B$, it should mean elementwise inequality. Thus for $B - A(x)$ matrix, all elements should be $\geq 0$. From where does positive semidefinite came?
Edit: Thanks for clarification
