diff --git a/benchmarks/bench_processors.py b/benchmarks/bench_processors.py
index db1e4a8f1..02ea52b79 100644
--- a/benchmarks/bench_processors.py
+++ b/benchmarks/bench_processors.py
@@ -37,15 +37,12 @@ def get_mock_processor_inputs(array_library, num_tokens=30000):
     logits: (4, 30,000 ) dtype=float
     input_ids shape: (4, 2048) dtype=int
     """
-    if array_library == "torch":
-        logits = torch.rand((4, num_tokens), dtype=torch.float)
-        input_ids = torch.randint(
-            low=0, high=num_tokens, size=(4, 2048), dtype=torch.int
-        )
-    elif array_library == "torch_cuda":
-        logits = torch.rand((4, num_tokens), dtype=torch.float, device="cuda")
+    if array_library.startswith("torch"):
+        device = array_library.split("_")[1] if "_" in array_library else "cpu"
+
+        logits = torch.rand((4, num_tokens), dtype=torch.float, device=device)
         input_ids = torch.randint(
-            low=0, high=num_tokens, size=(4, 2048), dtype=torch.int, device="cuda"
+            low=0, high=num_tokens, size=(4, 2048), dtype=torch.int, device=device
         )
     elif array_library == "numpy":
         logits = np.random.rand(4, num_tokens).astype(np.float32)
@@ -88,6 +85,8 @@ class LogitsProcessorPassthroughBenchmark:
         params += ["mlx"]
     if torch.cuda.is_available():
         params += ["torch_cuda"]
+    if torch.mps.is_available():
+        params += ["torch_mps"]
     if is_jax_allowed():
         params += ["jax"]
 
@@ -108,9 +107,10 @@ class LogitsProcessorStructuredBenchmark:
     array_libraries = ["torch", "numpy"]
     if is_mlx_lm_allowed():
         array_libraries += ["mlx"]
-    # PR TODO
     if torch.cuda.is_available():
         array_libraries += ["torch_cuda"]
+    if torch.mps.is_available():
+        array_libraries += ["torch_mps"]
 
     # accept very many or very few tokens, respectively
     patterns = [r"[^Z]*", "Z*"]