diff --git a/python/tvm/relay/frontend/tflite.py b/python/tvm/relay/frontend/tflite.py
index 532318b804da..ef89fe80b75e 100644
--- a/python/tvm/relay/frontend/tflite.py
+++ b/python/tvm/relay/frontend/tflite.py
@@ -1898,10 +1898,6 @@ def _convert_arg_min_max(self, relay_op, op):
 
     def convert_arg_min(self, op):
         """Convert TFLite ARG_MIN"""
-        if self.is_quantized(op):
-            raise tvm.error.OpNotImplemented(
-                "TFlite quantized ARG_MIN operator is not supported yet."
-            )
         return self._convert_arg_min_max(_op.argmin, op)
 
     def convert_arg_max(self, op):
diff --git a/tests/python/frontend/tflite/test_forward.py b/tests/python/frontend/tflite/test_forward.py
index f60166702454..7adcdbd64404 100644
--- a/tests/python/frontend/tflite/test_forward.py
+++ b/tests/python/frontend/tflite/test_forward.py
@@ -3261,9 +3261,9 @@ def test_forward_arg_min_max():
     """Arg min max"""
     # test quantized
     for data in [np.array(np.random.uniform(-100, 100, (3, 4)), dtype=np.uint8)]:
-        # There is no quantized version of ArgMin
         for axis in [None, 0, 1, -1]:
             _test_arg_min_max(math_ops.argmax, data, axis, True)
+            _test_arg_min_max(math_ops.argmin, data, axis, True)
 
     for data in [np.array(np.random.uniform(-100, 100, (3, 4)), dtype=np.float32)]:
         for axis in [None, 0, 1, -1]: