diff --git a/tests/unittests/test_copy_cache_modifiers.py b/tests/unittests/test_copy_cache_modifiers.py
index c54544a5..08453a36 100644
--- a/tests/unittests/test_copy_cache_modifiers.py
+++ b/tests/unittests/test_copy_cache_modifiers.py
@@ -28,7 +28,7 @@ def copy_kernel(
     # Test copy with cache modifiers - copy from current rank to other ranks
     for target_rank in range(num_ranks):
         src_data = data + BLOCK_SIZE * cur_rank
-        dest_data = results + BLOCK_SIZE * target_rank
+        dest_data = results + BLOCK_SIZE * cur_rank
         if load_cache_modifier is None and store_cache_modifier is None:
             iris.copy(src_data + offsets, dest_data + offsets, cur_rank, target_rank, cur_rank, heap_bases, mask=mask)
         elif load_cache_modifier is None:
@@ -96,11 +96,12 @@ def test_copy_cache_modifiers(load_cache_modifier, store_cache_modifier):
 
     shmem.barrier()
 
-    # Verify results - each rank should have copied its data to all ranks
-    for i in range(num_ranks):
-        expected_value = base * (cur_rank + 1)
+    # Verify results - each rank copies its data to all other ranks
+    # After barrier, results[rank_id] should contain data from rank_id
+    for rank_id in range(num_ranks):
+        expected_value = (rank_id + num_ranks) * (rank_id + 1)
         assert torch.allclose(
-            results[i], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32, device=results.device)
+            results[rank_id], torch.full((BLOCK_SIZE,), expected_value, dtype=torch.float32, device=results.device)
         ), (
-            f"Mismatch at rank {cur_rank}, target {i} with load_cache_modifier={load_cache_modifier}, store_cache_modifier={store_cache_modifier}"
+            f"Mismatch at rank {cur_rank}, slot {rank_id} with load_cache_modifier={load_cache_modifier}, store_cache_modifier={store_cache_modifier}"
         )