diff --git a/colour/quality/ssi.py b/colour/quality/ssi.py
index 2a2d041d0e..fb1fb6f5be 100644
--- a/colour/quality/ssi.py
+++ b/colour/quality/ssi.py
@@ -21,7 +21,7 @@
 from colour.algebra import LinearInterpolator, sdiv, sdiv_mode
 from colour.colorimetry import SpectralDistribution, SpectralShape, reshape_sd
 from colour.hints import NDArrayFloat
-from colour.utilities import as_float_scalar, zeros
+from colour.utilities import zeros
 
 __author__ = "Colour Developers"
 __copyright__ = "Copyright 2013 Colour Developers"
@@ -44,8 +44,10 @@
 
 
 def spectral_similarity_index(
-    sd_test: SpectralDistribution, sd_reference: SpectralDistribution
-) -> float:
+    sd_test: SpectralDistribution,
+    sd_reference: SpectralDistribution,
+    round_results: bool = True,
+) -> NDArrayFloat:
     """
     Return the *Academy Spectral Similarity Index* (SSI) of given test
     spectral distribution with given reference spectral distribution.
@@ -56,6 +58,9 @@ def spectral_similarity_index(
         Test spectral distribution.
     sd_reference
         Reference spectral distribution.
+    round_results
+        Controls rounding the results. Particularly useful when using SSI in an
+        optimization routine. Default True.
 
     Returns
     -------
@@ -143,6 +148,8 @@ def spectral_similarity_index(
     c_wdr_i = convolve1d(np.hstack([0, wdr_i, 0]), [0.22, 0.56, 0.22])
     m_v = np.sum(c_wdr_i**2)
 
-    SSI = np.around(100 - 32 * np.sqrt(m_v))
+    SSI = 100 - 32 * np.sqrt(m_v)
 
-    return as_float_scalar(SSI)
+    if round_results:
+        return np.around(SSI)
+    return SSI
diff --git a/colour/quality/tests/test_ssi.py b/colour/quality/tests/test_ssi.py
index 35b01266d0..36c366e6bc 100644
--- a/colour/quality/tests/test_ssi.py
+++ b/colour/quality/tests/test_ssi.py
@@ -576,6 +576,32 @@ def test_spectral_similarity_index(self):
             72.0,
         )
 
+    def test_spectral_similarity_rounding(self):
+        """
+        Test :func:`colour.quality.ssi.spectral_similarity_index` for
+        producing continuous values.
+        """
+
+        # Test values were computed at ed2e90
+        self.assertAlmostEqual(
+            spectral_similarity_index(
+                SDS_ILLUMINANTS["C"],
+                SDS_ILLUMINANTS["D65"],
+                round_results=False,
+            ),
+            94.178,
+            places=2,
+        )
+        self.assertAlmostEqual(
+            spectral_similarity_index(
+                SpectralDistribution(DATA_HMI),
+                SDS_ILLUMINANTS["D50"],
+                round_results=False,
+            ),
+            71.772,
+            places=2,
+        )
+
 
 if __name__ == "__main__":
     unittest.main()