diff --git a/test/test_dtype_alu.py b/test/test_dtype_alu.py
index 102ae908b9..8de58d346a 100644
--- a/test/test_dtype_alu.py
+++ b/test/test_dtype_alu.py
@@ -1,7 +1,7 @@
 import unittest, operator, math
 from tinygrad import Tensor, dtypes, Device
 from tinygrad.dtype import DType, truncate
-from tinygrad.helpers import CI, getenv, CPU_LLVM
+from tinygrad.helpers import CI, getenv
 from tinygrad.tensor import _to_np_dtype
 from tinygrad.device import is_dtype_supported
 from tinygrad.runtime.ops_python import from_storage_scalar
@@ -48,7 +48,7 @@ class ht:
   int32 = strat.integers(-2147483648, 2147483647)
   int64 = strat.integers(-9223372036854775808, 9223372036854775807)
   bool = strat.booleans()
-ht.bfloat16 = ht.uint16
+ht.bfloat16 = ht.uint16.filter(lambda x: ((x >> 7) & 0xFF) != 0)  # filter subnormal bfloat16
 ht.fp8e4m3 = ht.uint8
 ht.fp8e5m2 = ht.uint8
 
@@ -138,7 +138,6 @@ class TestDTypeALU(unittest.TestCase):
   def test_float16_unary(self, a, op): universal_test_unary(a, dtypes.float16, op)
 
   @unittest.skipUnless(is_dtype_supported(dtypes.bfloat16), f"no bfloat16 on {Device.DEFAULT}")
-  @unittest.skipIf(CPU_LLVM, "bfloat16 precision issues with CPU_LLVM")
   @given(ht.bfloat16, strat.sampled_from(unary_operations))
   def test_bfloat16_unary(self, a, op): universal_test_unary(from_storage_scalar(a, dtypes.bfloat16), dtypes.bfloat16, op)