diff --git a/.github/workflows/benchmarks.yml b/.github/workflows/benchmarks.yml
new file mode 100644
index 00000000..1a39e203
--- /dev/null
+++ b/.github/workflows/benchmarks.yml
@@ -0,0 +1,32 @@
+name: Benchmarks
+
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  benchmark:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/setup-python@v4
+        with:
+          python-version: "3.12"
+      - uses: actions/checkout@v3
+      - name: Install packages
+        run: |
+          git fetch origin $GITHUB_BASE_REF:base $GITHUB_REF:pr
+          python -m pip install --upgrade pip wheel setuptools
+          pip install -r requirements/default.txt -r requirements/benchmarks.txt
+          pip install virtualenv
+          pip install setuptools
+          pip install .
+          python -m pip list
+      - name: Benchmark against main
+        run: |
+          cd benchmarks/
+          asv machine --yes
+          asv continuous base pr -e
diff --git a/requirements/benchmarks.txt b/requirements/benchmarks.txt
index 5ec68690..45b3b497 100644
--- a/requirements/benchmarks.txt
+++ b/requirements/benchmarks.txt
@@ -1,2 +1,2 @@
 hypernetx>=1.0
-asv>=0.5
\ No newline at end of file
+asv>=0.5, <0.6
\ No newline at end of file
diff --git a/xgi/algorithms/centrality.py b/xgi/algorithms/centrality.py
index da0204c3..b661636b 100644
--- a/xgi/algorithms/centrality.py
+++ b/xgi/algorithms/centrality.py
@@ -58,8 +58,11 @@ def clique_eigenvector_centrality(H, tol=1e-6):
     if not is_connected(H):
         return {n: np.nan for n in H.nodes}
     W, node_dict = clique_motif_matrix(H, index=True)
-    _, v = eigsh(W.asfptype(), k=1, which="LM", tol=tol)
-
+    try:
+        _, v = eigsh(W.astype(float), k=1, which="LM", tol=tol)
+    except AttributeError:
+        _, v = eigsh(W.asfptype(), k=1, which="LM", tol=tol)
+        
     # multiply by the sign to try and enforce positivity
     v = np.sign(v[0]) * v / norm(v, 1)
     return {node_dict[n]: v[n].item() for n in node_dict}