0.2 ns clock cycle processors are most advanced microarchitecture processors. These processors are useful in advanced scientific computing. Nano Technology lead today’s semiconductor technology into new era. In this paper we describe the statistical analysis of TCT (Task Completion Time) of 0.2 ns clock cycle processors. We used recently published SPEC CPUint2006 benchmark scores and classified benchmark programs into four subgroups. High performance processor is a great challenge to all microprocessor manufacturers and scientists. To day we need a high processor which can boost for a broad spectrum of application area. We use statistical analysis techniques, Principal Component Analysis (PCA) and Cluster Analysis (CA) for the study of TCT and benchmark workload classification using recently published SPEC CPUint2006 performance numbers of twenty three most advanced commercial processors. We calculated five most significant PCs, which are retained for 79.9% of the variance, PC2, PC3, PC4 and PC5 covers 13.9%, 3.3%, 1.2% and 0.5% variance respectively. We classified the CINT benchmarks in four sub groups. We found that the 400.perlbench and 483.xalancbmk exhibits higher memory wait time. Our results and analysis can be used by performance engineers, scientists and developers to better understand the benchmark workload and select input dataset for better microarchitecture design of the processors