diff --git a/do.sh b/do.sh
index 1e52070..1ab44f1 100644
--- a/do.sh
+++ b/do.sh
@@ -18,7 +18,12 @@ test() {
 	echo "I am ${FUNCNAME[0]}ing"
 	poetry run flake8 pyewjn tests
 	poetry run mypy pyewjn
-	poetry run pytest
+	poetry run pytest --benchmark-disable
+}
+
+benchmark() {
+	echo "I am ${FUNCNAME[0]}ing"
+	poetry run pytest --benchmark-only
 }
 
 htmlcov() {
diff --git a/tests/noise/test_chi_nam_unapproximated.py b/tests/noise/test_chi_nam_unapproximated.py
new file mode 100644
index 0000000..266d29b
--- /dev/null
+++ b/tests/noise/test_chi_nam_unapproximated.py
@@ -0,0 +1,65 @@
+import numpy as np
+import pytest
+
+import pyewjn.dielectric
+import pyewjn.noise.chi
+from pyewjn.baskets import CalculationParams
+
+
+cutoff_to_use = 5.4596e9
+
+TOO_SLOW_REASON = "These tests are too slow and pretty unhelpful"
+
+
+@pytest.mark.skip(reason=TOO_SLOW_REASON)
+@pytest.fixture
+def chi_zz_e_nam_unapproximated():
+	params = CalculationParams(
+		omega=1e9, v_f=2e6, omega_p=3.544907701811032e15, tau=1e-14, t_rel=0.99999
+	)
+	eps_l = pyewjn.dielectric.get_unapproximated_nam_dielectric(cutoff_to_use, params)
+	return pyewjn.noise.chi.get_chi_zz_e(eps_l)
+
+
+@pytest.mark.skip(reason=TOO_SLOW_REASON)
+@pytest.mark.parametrize(
+	"test_input,expected",
+	[
+		# z   chi_zz_e_nam_unapproximated(z)
+		(1e-5, 4.07695673649665e6),
+		(1e-6, 4.095895777068543e9),
+		# (1e-7, 5.012885033150058e12), commenting this one out because it seems numerically too unstable
+		# (1e-8, 1.441261982619894e16), commenting this one out because it seems numerically too unstable
+	],
+)
+def test_chi_zz_e_nam_unapproximated(chi_zz_e_nam_unapproximated, test_input, expected):
+	actual = chi_zz_e_nam_unapproximated(test_input)
+
+	np.testing.assert_allclose(
+		actual,
+		expected,
+		rtol=0.05,
+		err_msg="chi_zz_e is inaccurate for nam_unapproximated case",
+		verbose=True,
+	)
+
+
+@pytest.mark.skip(reason=TOO_SLOW_REASON)
+@pytest.mark.parametrize(
+	"test_input,expected",
+	[
+		# z   chi_zz_e_nam_unapproximated(z)
+		(1e-6, 4.095895777068543e9),
+	],
+)
+def test_chi_zz_e_nam_unapproximated_benchmark(
+	benchmark, chi_zz_e_nam_unapproximated, test_input, expected
+):
+	actual = benchmark(chi_zz_e_nam_unapproximated, test_input)
+	np.testing.assert_allclose(
+		actual,
+		expected,
+		rtol=0.05,
+		err_msg="chi_zz_e is inaccurate for nam_unapproximated case",
+		verbose=True,
+	)