The European banking sector was in the central interest for the last ten years. The reasons are: the impact of the global financial crisis on the stability of banks, the fundamental impact of the banking sector on the effectiveness of government anti-crisis actions and the vulnerability of banking institutions to the euro crisis. The financial crisis and its negative impact, not only on the national bank, but also on the strongest international institutions, have shown that the problem of measuring the efficiency of the banking sector is still a topical issue, important for academic researchers. In this paper, we analyze the technical efficiency of CEE countries based on 17 decision makers (DMU). AOMP is a nonparametric analysis used to assess the relative effectiveness of decision makers using assigned inputs and outputs. The main advantages of DEA allow the analysis of multiple input and output factors. This capability is very useful in real control situations, as there are usually multiple, multidimensional inputs and outputs. From this perspective, DEA is better compared to a traditional approach that can only increase multiple inputs and a single output. There is a lack of mirrors in the overall complexity of the methods. The standard formulation of the DEA computer model is a separate linear program for each comparison of individuals, extensive comparisons can be computer complicated and therefore the model may seem very complex, or less attractive. Despite some shortcomings DEA is a very good method for examining technical differences. Two hypotheses were tested. The first hypothesis suggests that the banking sectors of euro area member states are relatively technically more efficient than the banking sectors of non-euro area EU member states. We accept the second hypothesis that the banking sectors in the countries of Central and Eastern Europe that have joined the EU are relatively more technically efficient than the banking sectors that have not joined the EU.