diff --git a/test/external/external_test_losses.py b/test/external/external_test_losses.py
index 3ed8b334a9..cfd2e39efb 100644
--- a/test/external/external_test_losses.py
+++ b/test/external/external_test_losses.py
@@ -1,7 +1,7 @@
 from tinygrad import Tensor
 from test.external.mlperf_unet3d.dice import DiceCELoss
 from test.external.mlperf_retinanet.focal_loss import sigmoid_focal_loss as ref_sigmoid_focal_loss
-from examples.mlperf.losses import dice_ce_loss, sigmoid_focal_loss
+from examples.mlperf.losses import dice_ce_loss, sigmoid_focal_loss, l1_loss
 
 import numpy as np
 import torch
@@ -40,6 +40,18 @@ class TestSigmoidFocalLoss(TestLoss):
       pred, tgt = self._generate_samples()
       self.assert_loss(pred, tgt, sigmoid_focal_loss, ref_sigmoid_focal_loss, rtol=1e-4, alpha=0.58, gamma=2, reduction=reduction)
 
+class TestL1Loss(TestLoss):
+  def _generate_samples(self, shape):
+    return np.random.randint(shape).astype(np.float32), np.random.randint(shape)
+
+  def test_loss(self):
+    N, C, H, W = 3, 4, 5, 6
+    shapes = ((N, C), (N, C, H), (N, C, H, W))
+
+    for reduction in ["mean", "sum", "none"]:
+      for shape in shapes:
+        pred, tgt = self._generate_samples(shape)
+        self.assert_loss(pred, tgt, l1_loss, torch.nn.functional.l1_loss, reduction=reduction)
 
 if __name__ == '__main__':
   unittest.main()
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