I would create an intermediate dictionary mapping each name to the maximum score for that name, then turn it back to a tuple of dicts afterwards:
>>> result = ({'name': 'xxx', 'score': 120L }, {'name': 'xxx', 'score': 100L}, {'name': 'xxx', 'score': 10L}, {'name':'yyy', 'score':20})
>>> from collections import defaultdict
>>> max_scores = defaultdict(int)
>>> for d in result:
... max_scores[d['name']] = max(d['score'], max_scores[d['name']])
...
>>> max_scores
defaultdict(<type 'int'>, {'xxx': 120L, 'yyy': 20})
>>> tuple({name: score} for (name, score) in max_scores.iteritems())
({'xxx': 120L}, {'yyy': 20})
Notes:
1) I have added {'name': 'yyy', 'score': 20}
to your example data to show it working with a tuple with more than one name.
2)I use a defaultdict that assumes the minimum value for score is zero. If the score can be negative you will need to change the int parameter of defaultdict(int) to a function that returns a number smaller than the minimum possible score.
Incidentally I suspect that having a tuple of dictionaries is not the best data structure for what you want to do. Have you considered alternatives, such as having a single dict, perhaps with a list of scores for each name?