diff --git a/gymnasium/utils/performance.py b/gymnasium/utils/performance.py
new file mode 100644
index 000000000..33afaeaf2
--- /dev/null
+++ b/gymnasium/utils/performance.py
@@ -0,0 +1,101 @@
+"""A collection of perofmance bencharks, useful for debugging performance related issues."""
+
+import time
+from typing import Callable
+
+import gymnasium
+
+
+def benchmark_step(env: gymnasium.Env, target_duration: int = 5, seed=None):
+    """A benchmark to measure the runtime performance of step for an environment.
+
+    example usage:
+        ```py
+        env_old = ...
+        old_throughput = benchmark_step(env_old)
+        env_new = ...
+        new_throughput = benchmark_step(env_old)
+        slowdown = old_throughput / new_throughput
+        ```
+
+    Args:
+        env: the environment to benchmarked.
+        target_duration: the duration of the benchmark in seconds (note: it will go slightly over it).
+        seed: seeds the environment and action sampled.
+
+    Returns: the average steps per second.
+    """
+    steps = 0
+    end = 0
+    env.reset(seed=seed)
+    env.action_space.sample()
+    start = time.time()
+
+    while True:
+        steps += 1
+        action = env.action_space.sample()
+        _, _, terminal, truncated, _ = env.step(action)
+
+        if terminal or truncated:
+            env.reset()
+
+        if time.time() - start > target_duration:
+            end = time.time()
+            break
+
+    length = end - start
+
+    steps_per_time = steps / length
+    return steps_per_time
+
+
+def benchmark_init(
+    env_lambda: Callable[[], gymnasium.Env], target_duration: int = 5, seed=None
+):
+    """A benchmark to measure the initialization time and first reset.
+
+    Args:
+        env_lambda: the function to initialize the environment.
+        target_duration: the duration of the benchmark in seconds (note: it will go slightly over it).
+        seed: seeds the first reset of the environment.
+    """
+    inits = 0
+    end = 0
+    start = time.time()
+    while True:
+        inits += 1
+        env = env_lambda()
+        env.reset(seed=seed)
+
+        if time.time() - start > target_duration:
+            end = time.time()
+            break
+    length = end - start
+
+    inits_per_time = inits / length
+    return inits_per_time
+
+
+def benchmark_render(env: gymnasium.Env, target_duration: int = 5):
+    """A benchmark to measure the time of render().
+
+    Note: does not work with `render_mode='human'`
+    Args:
+        env: the environment to benchmarked (Note: must be renderable).
+        target_duration: the duration of the benchmark in seconds (note: it will go slightly over it).
+
+    """
+    renders = 0
+    end = 0
+    start = time.time()
+    while True:
+        renders += 1
+        env.render()
+
+        if time.time() - start > target_duration:
+            end = time.time()
+            break
+    length = end - start
+
+    renders_per_time = renders / length
+    return renders_per_time