QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization

QuIDE introduces a unified metric, the Intelligence Index I, to evaluate the efficiency of quantized neural networks by collapsing the compression-accuracy-latency trade-off. Experiments across various settings identify task-dependent optimal quantization (4-bit or 8-bit), providing a reproducible evaluation protocol and a fitness function for mixed-precision search.