A fraud detection system must choose between: Model A (99.5% accuracy, 200ms inference latency, detects 85% of fraud) and Model B (97% accuracy, 20ms inference latency, detects 72% of fraud). The system processes credit card transactions at the point of sale, where customers wait for authorization. Which model should be deployed, and what system design consideration makes accuracy a misleading metric here?