Don't think so because all tokens predicted speculatively are still validated against the main model (which is faster than predicting them from scratch) and only accepted if they match exactly.
But then it's not a problem of speculative decoding, fix your dam main model.
BTW, in case there is confusion, we are not talking about CPU speculative execution affecting model inference at all, just about this specific technique: predict tokens via a smaller drafter model, then validate them against the main model in batch.