diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 69e106a0..4868eb8d 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -5,6 +5,7 @@ on:
     branches: main
   pull_request:
     branches: main
+  workflow_dispatch:
 
 jobs:
   pytest:
@@ -32,6 +33,30 @@ jobs:
           name: coverage-reports
           path: ./coverage.xml
 
+  benchmarks:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [ubuntu-latest]
+        python: [3.9]
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          persist-credentials: false
+      - uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python }}
+          architecture: x64
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade uv
+          uv pip install --system -e ".[test]"
+      - name: Run benchmarks
+        uses: CodSpeedHQ/action@v3
+        with:
+          token: ${{ secrets.CODSPEED_TOKEN }}
+          run: pytest --codspeed tests/
+
   codecov-upload:
     runs-on: ubuntu-latest
     needs: pytest
diff --git a/pyproject.toml b/pyproject.toml
index d47fab77..b37266d5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,6 +47,7 @@ test = [
     "pytest>=7.3.2",
     "pytest-cov>=3.0.0,<5.0.0",
     "pytest-pretty>=1.0.0,<2.0.0",
+    "pytest-codspeed>=2.2.1,<3.0.0",
 ]
 quality = [
     "ruff==0.5.7",
@@ -76,6 +77,7 @@ dev = [
     "pytest>=7.3.2",
     "pytest-cov>=4.0.0,<5.0.0",
     "pytest-pretty>=1.0.0,<2.0.0",
+    "pytest-codspeed>=2.2.1,<3.0.0",
     # style
     "ruff==0.5.7",
     "mypy==1.10.0",
diff --git a/tests/test_metrics.py b/tests/test_metrics.py
index d3e2f30d..6d0aecc9 100644
--- a/tests/test_metrics.py
+++ b/tests/test_metrics.py
@@ -1,5 +1,6 @@
 from functools import partial
 
+import pytest
 import torch
 from torchvision.models import mobilenet_v3_small
 
@@ -7,6 +8,7 @@
 from torchcam.methods import LayerCAM
 
 
+@pytest.mark.benchmark
 def test_classification_metric():
     model = mobilenet_v3_small(weights=None)
     with LayerCAM(model, "features.12") as extractor: