diff --git a/python/test/unit/language/test_core.py b/python/test/unit/language/test_core.py
index d5a2286565aa..584b12a6f25f 100644
--- a/python/test/unit/language/test_core.py
+++ b/python/test/unit/language/test_core.py
@@ -32,6 +32,11 @@ def is_hip():
         triton.runtime.driver.active.get_current_target().backend == "hip"
 
 
+def is_cpu():
+    return not is_interpreter() and \
+        triton.runtime.driver.active.get_current_target().backend == "cpu"
+
+
 int_dtypes = ['int8', 'int16', 'int32', 'int64']
 uint_dtypes = ['uint8', 'uint16', 'uint32', 'uint64']
 float_dtypes = ['float16', 'float32', 'float64']
@@ -1590,6 +1595,12 @@ def test_cast(dtype_x, dtype_z, bitcast, size, num_ctas, device):
     if is_hip() and (dtype_z in ("bfloat16", "float8_e4m3fn") or dtype_x == "float8_e4m3fn"):
         pytest.skip(f'test_cast{(dtype_x, dtype_z)} cast to bfloat16 not supported on HIP.')
 
+    # bf16 vector cast is broken in LLVM for large vectors:
+    #   https://github.com/llvm/llvm-project/issues/92471
+    # TODO: Remove the change after the bug is fixed.
+    if is_cpu() and dtype_x == 'bfloat16' and size > 128:
+        size = 128
+
     torch.manual_seed(0)
     # This is tricky because numpy doesn't have bfloat, and torch doesn't have uints.
     if dtype_x.startswith('bfloat'):