diff --git a/tests/benchmarks/test_event_processing.py b/tests/benchmarks/test_event_processing.py
new file mode 100644
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+++ b/tests/benchmarks/test_event_processing.py
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+"""Benchmark for the event processing pipeline.
+
+Measures the time from calling the ``process`` function (the core of
+``on_event``) to collecting all emitted ``StateUpdate`` deltas via
+``contextlib.aclosing`` over the async generator.
+"""
+
+import asyncio
+import contextlib
+from unittest import mock
+
+import pytest
+import pytest_asyncio
+from pytest_codspeed import BenchmarkFixture
+from reflex_base.utils.format import format_event_handler
+
+from reflex.app import App, process
+from reflex.event import Event
+from reflex.istate.manager.memory import StateManagerMemory
+from reflex.state import State
+
+from .fixtures import BenchmarkState
+
+
+@pytest.fixture
+def app_module_mock(monkeypatch) -> mock.Mock:
+    """Mock the app module so state machinery can resolve the app.
+
+    Args:
+        monkeypatch: pytest monkeypatch fixture.
+
+    Returns:
+        The mock for the main app module.
+    """
+    from reflex.utils import prerequisites
+
+    app_module_mock = mock.Mock()
+    get_app_mock = mock.Mock(return_value=app_module_mock)
+    monkeypatch.setattr(prerequisites, "get_app", get_app_mock)
+    return app_module_mock
+
+
+@pytest_asyncio.fixture
+async def event_processing_harness(app_module_mock: mock.Mock):
+    """Set up the full event processing pipeline for benchmarking.
+
+    Creates an App wired to a real StateManagerMemory. The ``process``
+    function is called directly (bypassing Socket.IO) and StateUpdates
+    are collected and counted to verify correctness.
+
+    Args:
+        app_module_mock: The mocked app module.
+
+    Yields:
+        An async callable that processes the given events and asserts
+        the expected number of deltas were produced.
+    """
+    app = app_module_mock.app = App()
+    state_manager = StateManagerMemory(state=State)
+    app._state_manager = state_manager
+    # Disable event namespace so process() doesn't try to emit "reload"
+    # via Socket.IO for brand-new states.
+    app._event_namespace = None
+
+    token = "benchmark-token"
+    sid = "benchmark-sid"
+    headers: dict = {}
+    client_ip = "127.0.0.1"
+
+    handler_name = format_event_handler(BenchmarkState.event_handlers["increment"])
+
+    event = Event(
+        token=token,
+        name=handler_name,
+        router_data={
+            "query": {},
+            "path": "/",
+        },
+        payload={},
+    )
+
+    delta_count = 0
+    expected_deltas = 0
+
+    async def run_events(num_events: int, num_expected_deltas: int) -> None:
+        """Process events through the pipeline and wait for deltas.
+
+        Args:
+            num_events: Number of increment events to process.
+            num_expected_deltas: How many StateUpdates to wait for.
+        """
+        nonlocal delta_count, expected_deltas
+        delta_count = 0
+        expected_deltas = num_expected_deltas
+
+        for _ in range(num_events):
+            async with contextlib.aclosing(
+                process(app, event, sid, headers, client_ip)
+            ) as updates:
+                async for _update in updates:
+                    delta_count += 1
+
+        assert delta_count == expected_deltas, (
+            f"Expected {expected_deltas} StateUpdate(s), got {delta_count}"
+        )
+
+    yield run_events
+
+    await state_manager.close()
+
+
+def test_process_event(
+    event_processing_harness,
+    benchmark: BenchmarkFixture,
+):
+    """Benchmark processing 3 increment events through the full pipeline.
+
+    The first event creates fresh state (cold path), the next two reuse
+    the existing state (warm path). All machinery is set up outside the
+    benchmark; only the event processing is timed.
+
+    Args:
+        event_processing_harness: The run_events async callable.
+        benchmark: The codspeed benchmark fixture.
+    """
+    run_events = event_processing_harness
+    loop = asyncio.get_event_loop()
+
+    # Each call to process() for a non-background event yields StateUpdates.
+    # The _process_event generator yields one update per yield/return plus a
+    # final update. For a simple handler like increment() with no yield,
+    # we get 1 StateUpdate per event = 3 total.
+    @benchmark
+    def _():
+        loop.run_until_complete(run_events(num_events=3, num_expected_deltas=3))