diff --git a/benchmarks/bench_filter_stamps.py b/benchmarks/bench_filter_stamps.py
new file mode 100644
index 00000000..b43d36d9
--- /dev/null
+++ b/benchmarks/bench_filter_stamps.py
@@ -0,0 +1,105 @@
+import timeit
+import numpy as np
+
+from kbmod.filters.stamp_filters import *
+from kbmod.result_list import ResultRow
+from kbmod.search import ImageStack, PSF, RawImage, StackSearch, StampParameters, StampType, Trajectory
+
+
+def setup_coadd_stamp(params):
+    """Create a coadded stamp to test with a single bright spot
+    slightly off center.
+
+    Parameters
+    ----------
+    params : `StampParameters`
+        The parameters for stamp generation and filtering.
+
+    Returns
+    -------
+    stamp : `RawImage`
+        The coadded stamp.
+    """
+    stamp_width = 2 * params.radius + 1
+
+    stamp = RawImage(stamp_width, stamp_width)
+    stamp.set_all(0.5)
+
+    # Insert a flux of 50.0 and apply a PSF.
+    flux = 50.0
+    p = PSF(1.0)
+    psf_dim = p.get_dim()
+    psf_rad = p.get_radius()
+    for i in range(psf_dim):
+        for j in range(psf_dim):
+            stamp.set_pixel(
+                (params.radius - 1) - psf_rad + i,  # x is one pixel off center
+                params.radius - psf_rad + j,  # y is centered
+                flux * p.get_value(i, j),
+            )
+
+    return stamp
+
+
+def run_search_benchmark(params):
+    stamp = setup_coadd_stamp(params)
+
+    # Create an empty search stack.
+    im_stack = ImageStack([])
+    search = StackSearch(im_stack)
+
+    # Do the timing runs.
+    tmr = timeit.Timer(stmt="search.filter_stamp(stamp, params)", globals=locals())
+    res_time = np.mean(tmr.repeat(repeat=10, number=20))
+    return res_time
+
+
+def run_row_benchmark(params, create_filter=""):
+    stamp = setup_coadd_stamp(params)
+    row = ResultRow(Trajectory(), 10)
+    row.stamp = np.array(stamp.get_all_pixels())
+
+    filt = eval(create_filter)
+
+    # Do the timing runs.
+    full_cmd = "filt.keep_row(row)"
+    tmr = timeit.Timer(stmt="filt.keep_row(row)", globals=locals())
+    res_time = np.mean(tmr.repeat(repeat=10, number=20))
+    return res_time
+
+
+def run_all_benchmarks():
+    params = StampParameters()
+    params.radius = 5
+    params.do_filtering = True
+    params.stamp_type = StampType.STAMP_MEAN
+    params.center_thresh = 0.03
+    params.peak_offset_x = 1.5
+    params.peak_offset_y = 1.5
+    params.m01_limit = 0.6
+    params.m10_limit = 0.6
+    params.m11_limit = 2.0
+    params.m02_limit = 35.5
+    params.m20_limit = 35.5
+
+    print(" Rad |       Method       |    Time")
+    print("-" * 40)
+    for r in [2, 5, 10, 20]:
+        params.radius = r
+
+        res_time = run_search_benchmark(params)
+        print(f"  {r:2d} | C++ (all)          | {res_time:10.7f}")
+
+        res_time = run_row_benchmark(params, f"StampPeakFilter({r}, 1.5, 1.5)")
+        print(f"  {r:2d} | StampPeakFilter    | {res_time:10.7f}")
+
+        res_time = run_row_benchmark(params, f"StampMomentsFilter({r}, 0.6, 0.6, 2.0, 35.5, 35.5)")
+        print(f"  {r:2d} | StampMomentsFilter | {res_time:10.7f}")
+
+        res_time = run_row_benchmark(params, f"StampCenterFilter({r}, False, 0.03)")
+        print(f"  {r:2d} | StampCenterFilter  | {res_time:10.7f}")
+        print("-" * 40)
+
+
+if __name__ == "__main__":
+    run_all_benchmarks()