diff --git a/test/test_dtype.py b/test/test_dtype.py
index 216952cb3338f..acaaf1ccc560e 100644
--- a/test/test_dtype.py
+++ b/test/test_dtype.py
@@ -650,8 +650,15 @@ def test_functions(self):
     ]:
       t = func(Tensor([4.0, 3.0])).max() == func(Tensor([4.0, 3.0]))
       result.append(t.numpy().sum())
-
     assert all(result)
 
+class TestTensorMethod(unittest.TestCase):
+  @given(strat.sampled_from(core_dtypes))
+  def test_abs_diff(self, dt):
+    if dt == dtypes.bool or not is_dtype_supported(dt): return
+    a, b = Tensor([2], dtype=dt), Tensor([1], dtype=dt)
+    ret = (a - b).abs()
+    np.testing.assert_allclose(ret.numpy(), np.abs(a.numpy()-b.numpy()))
+
 if __name__ == '__main__':
   unittest.main()
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 1cb4b2657e5b0..00ebf5dccdf87 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -1140,7 +1140,10 @@ def round(self: Tensor) -> Tensor:
   def lerp(self, end: Tensor, weight: Union[Tensor, float]) -> Tensor: return self + (end - self) * weight
   def square(self): return self*self
   def clip(self, min_, max_): return self.maximum(min_).minimum(max_)
-  def abs(self): return self.relu() + (-self).relu()
+  def abs(self):
+    if dtypes.is_unsigned(self.dtype) or self.dtype == dtypes.bool: return self
+    if dtypes.is_int(self.dtype): return (self < 0).where(0, self)
+    return self.relu() + (-self).relu()
   def sign(self): return ((self.float()) / (self.float().abs() + 1e-12)).cast(self.dtype)
   def reciprocal(self): return F.Reciprocal.apply(self.cast(least_upper_float(self.dtype)))