Efficient cluster configuration primarily enables optimal resource utilization, which is crucial for enhancing the performance of machine learning workloads. This optimization leads to reduced computation time and better use of available computing resources. While other options like streamlined model deployment, quick data preprocessing, and real-time data visualization are beneficial, they are not the direct outcome of efficient cluster configuration.