ɪnðɪ ɛkstɹˈiːm kˈeɪs wˌɛɹ ˈiːtʃ əv ðə mˈʌltaɪ sˈæmpəl loʊkˈeɪʃənz ɪz kˈʌvɚd baɪ ɐ dˈɪfɹənt tɹˈaɪæŋɡəl, ɐ dˈɪfɹənt ʃˈeɪdɪŋ kˌɑːmpjuːtˈeɪʃən wɪl biː pɚfˈɔːɹmd fɔːɹ ˈiːtʃ loʊkˈeɪʃən ænd ðə ɹɪzˈʌlts ðˈɛn kəmbˈaɪnd tə ɡˈɪv ðə fˈaɪnəl pˈɪksəl, ænd ðə ɹɪzˈʌlt ænd kˌɑːmpjuːtˈeɪʃənəl ɛkspˈɛns ɑːɹ ðə sˈeɪm æz ɪnðɪ ɪkwˈɪvələnt sˈuːpɚsˌæmpəld ˈɪmɪdʒ.
In the extreme case where each of the multi sample locations is covered by a different triangle, a different shading computation will be performed for each location and the results then combined to give the final pixel, and the result and computational expense are the same as in the equivalent supersampled image.