The present work investigates the metal temperature prediction at supercritical pressure of water by CFD and compares the prediction of CFD and that of 11 empirical correlations available in literature. Supercritical-water heat transfer experimental data covering a mass flux range of 400-1500 kg/m² s, a heat flux range of 150-1000 kW/m², a pressure 241 bar and a diameter 10 mm tube were obtained from literature for validation. Around 362 experimental wall temperature data of both enhanced heat transfers and deteriorated heat transfer region available in the literature has been taken. A visual Basic program has been developed to predict metal temperature for the selected empirical correlations and compared with experimental data. Ranking based on the deviation with experimental data is also listed. CFD simulations have also been carried out for those operating conditions and compared with experimental data.