Computer performance is increasingly limited by the performance of memory systems due to the fact that the rate of memory system performance increase has lagged the rate of processor performance increase in the past years. In other to bridge this gap, the computer memory is methodically examined from the transistor level to the memory element (Flip Flop) level using a robust methodological research process that provides a systematic approach/technique in comparing the performance of conventional Flip Flops to a Flip Flop known as Flip Flop Extension. Since the ultimate metric of memory system performance is related to how fast it can service critical requests from processors; the rationale used to justify the focus of this study is that by improving the memory elements (cells) used for designing Computer Dynamic Random Access Memory (DRAM), the average request service time can be reduced. This study shows remarkable performance improvement on high capacity of computer memory with the developed Flip Flop Extension when compared to the conventional Flip Flops. This study is therefore dedicated to the investigation of the existing conventional Flip Flops performance comparison to a Flip Flop Extension that is capable of being selected for the purpose of reading from and writing into it. This paper presents two models of comparison analysis frameworks known as Decision Tree and Propagation Time to examine and evaluate the significant performance advantages of the Flip Flops Extension at 87.5?tive states utilization over conventional Flip Flops at 50% and 75?tive states utilization respectively.