diff --git a/pyperformance/data-files/benchmarks/bm_pickle_opt/pyproject.toml b/pyperformance/data-files/benchmarks/bm_pickle_opt/pyproject.toml
new file mode 100644
index 00000000..07235075
--- /dev/null
+++ b/pyperformance/data-files/benchmarks/bm_pickle_opt/pyproject.toml
@@ -0,0 +1,9 @@
+[project]
+name = "pyperformance_bm_pickle_opt"
+requires-python = ">=3.8"
+dependencies = ["pyperf"]
+urls = {repository = "https://github.com/python/pyperformance"}
+dynamic = ["version"]
+
+[tool.pyperformance]
+name = "pickle_opt"
diff --git a/pyperformance/data-files/benchmarks/bm_pickle_opt/run_benchmark.py b/pyperformance/data-files/benchmarks/bm_pickle_opt/run_benchmark.py
new file mode 100644
index 00000000..775fc090
--- /dev/null
+++ b/pyperformance/data-files/benchmarks/bm_pickle_opt/run_benchmark.py
@@ -0,0 +1,28 @@
+"""The background for this benchmark is that the garbage collection in
+Python 3.14.0 had a performance regression, see
+
+* https://github.com/python/cpython/issues/140175
+* https://github.com/python/cpython/issues/139951
+
+"""
+
+import pickle
+import pickletools
+import pyperf
+
+
+def setup(N: int) -> bytes:
+    x = {i: f"ii{i:>07}" for i in range(N)}
+    return pickle.dumps(x, protocol=4)
+
+
+def run(p: bytes) -> None:
+    pickletools.optimize(p)
+
+
+if __name__ == "__main__":
+    runner = pyperf.Runner()
+    runner.metadata["description"] = "Pickletools optimize"
+    N = 100_000
+    payload = setup(N)
+    runner.bench_func("pickle_opt", run, payload)