diff --git a/pandas/tseries/frequencies.py b/pandas/tseries/frequencies.py
index 70eab4dde8c1f..09ff6578160f8 100644
--- a/pandas/tseries/frequencies.py
+++ b/pandas/tseries/frequencies.py
@@ -668,8 +668,12 @@ class _FrequencyInferer(object):
     def __init__(self, index, warn=True):
         self.index = index
         self.values = np.asarray(index).view('i8')
+
         if index.tz is not None:
-            self.values = tslib.date_normalize(self.values, index.tz)
+            f = lambda x: tslib.tz_convert_single(x, 'UTC', index.tz)
+            self.values = np.vectorize(f)(self.values)
+            # This cant work, because of DST
+            # self.values = tslib.tz_convert(self.values, 'UTC', index.tz)
 
         self.warn = warn
 
diff --git a/pandas/tseries/tests/test_frequencies.py b/pandas/tseries/tests/test_frequencies.py
index e2e30fcb69440..9089ca85ac3bb 100644
--- a/pandas/tseries/tests/test_frequencies.py
+++ b/pandas/tseries/tests/test_frequencies.py
@@ -14,8 +14,7 @@
 import pandas.tseries.frequencies as fmod
 import pandas.tseries.offsets as offsets
 from pandas.tseries.period import PeriodIndex
-
-import pandas.lib as lib
+import pandas.compat as compat
 
 from pandas import _np_version_under1p7
 import pandas.util.testing as tm
@@ -258,19 +257,20 @@ def test_infer_freq(self):
 
     def test_infer_freq_tz(self):
 
+        freqs = {'AS-JAN': ['2009-01-01', '2010-01-01', '2011-01-01', '2012-01-01'],
+                 'Q-OCT': ['2009-01-31', '2009-04-30', '2009-07-31', '2009-10-31'],
+                 'M': ['2010-11-30', '2010-12-31', '2011-01-31', '2011-02-28'],
+                 'W-SAT': ['2010-12-25', '2011-01-01', '2011-01-08', '2011-01-15'],
+                 'D': ['2011-01-01', '2011-01-02', '2011-01-03', '2011-01-04'],
+                 'H': ['2011-12-31 22:00', '2011-12-31 23:00', '2012-01-01 00:00', '2012-01-01 01:00']
+        }
+
         # GH 7310
-        for tz in [None, 'Asia/Tokyo', 'US/Pacific', 'Europe/Paris']:
-            dates = ['2010-11-30', '2010-12-31', '2011-01-31', '2011-02-28']
-            idx = DatetimeIndex(dates)
-            self.assertEqual(idx.inferred_freq, 'M')
-
-            dates = ['2011-01-01', '2011-01-02', '2011-01-03', '2011-01-04']
-            idx = DatetimeIndex(dates)
-            self.assertEqual(idx.inferred_freq, 'D')
-
-            dates = ['2011-12-31 22:00', '2011-12-31 23:00', '2012-01-01 00:00', '2012-01-01 01:00']
-            idx = DatetimeIndex(dates)
-            self.assertEqual(idx.inferred_freq, 'H')
+        for tz in [None, 'Australia/Sydney', 'Asia/Tokyo', 'Europe/Paris',
+                   'US/Pacific', 'US/Eastern']:
+            for expected, dates in compat.iteritems(freqs):
+                idx = DatetimeIndex(dates, tz=tz)
+                self.assertEqual(idx.inferred_freq, expected)
 
     def test_not_monotonic(self):
         rng = _dti(['1/31/2000', '1/31/2001', '1/31/2002'])