Introduction: Six sigma is a metric that quantifies the performance of processes as a rate of Defects-Per-Million Opportunities. Sigma methodology can be applied in chemical pathology laboratory for evaluating process performance with evidence for process improvement in quality assurance program. In the laboratory, these methods have been used to improve the timeliness of troubleshooting, reduce the cost and frequency of quality control and minimize pre and post-analytic errors. Aim: The aim of this study is to evaluate the sigma values of the Cobas 8000 analyzer based on the minimum requirement of the specification. Methodology: The twenty-one analytes were chosen in this studies. The analytes were ALT, Alb, ALP, Amylase, AST, Bil Total, Calcium, Chloride, Cholesterol, HDL-cholesterol, Creatinine, Creatinine Kinase, Glucose, LDH, Magnesium, Potassium, Protein, Sodium, Triglyceride, Acid Uric and Urea. The source of the total error was chosen from CLIA. The bias was calculated from end cycle report of RCPA cycle from July to December 2016 and coefficient variation (CV) from six months IQC. The sigma was calculated based on the formula: Sigma = (Total Error - Bias) / CV. The analytical performance was evaluated based on the sigma, sigma > 6 is world class, sigma > 5 is excellence, sigma > 4 is good and sigma < 4 is satisfactorily, sigma < 3 is more infrequence of Internal Quality Control (IQC) perform per day. Results: Based on the calculation, we found that, 96% is world class (ALT, Alb, ALP, Amylase, AST, Bil Total, Cholesterol, HDL-cholesterol, Creatinine, Creatinine Kinase, Glucose, LDH, Magnesium, Potassium, Triglyceride and Acid Uric. 14% excellence (Calcium, Protein and Urea), and 10% (chloride and sodium) is more frequent of IQC perform per day. Conclusion: Based on this study, we found that only Chloride and Sodium should be performed frequently IQC to make sure that the analysis is accurate and reliable for patient management.