diff --git a/importerUtils.cpp b/importerUtils.cpp
index ee6a56fb..89055701 100644
--- a/importerUtils.cpp
+++ b/importerUtils.cpp
@@ -1451,7 +1451,7 @@ nvinfer1::Dims makeDims(int32_t nbDims, int64_t val)
 }
 
 NodeOutputs normalizationHelper(ImporterContext* ctx, const ::ONNX_NAMESPACE::NodeProto& node, size_t const nodeIdx,
-    std::vector<TensorOrWeights>& inputs, bool const useV2)
+    std::vector<TensorOrWeights>& inputs, bool const useV2, bool const includeChannelAxis)
 {
     auto* input = &convertToTensor(inputs.at(0), ctx);
     auto* scale = &convertToTensor(inputs.at(1), ctx);
@@ -1485,6 +1485,11 @@ NodeOutputs normalizationHelper(ImporterContext* ctx, const ::ONNX_NAMESPACE::No
         unsqueezeAxes.push_back(i);
     }
 
+    if (includeChannelAxis && nbGroups == 1)
+    {
+        axesMask |= 1u << 1;
+    }
+
     scale = unsqueezeTensor(ctx, *scale, unsqueezeAxes);
     bias = unsqueezeTensor(ctx, *bias, unsqueezeAxes);
 
diff --git a/importerUtils.hpp b/importerUtils.hpp
index 31e2d67c..bfe69572 100644
--- a/importerUtils.hpp
+++ b/importerUtils.hpp
@@ -271,9 +271,9 @@ std::unique_ptr<nvinfer1::IPluginV3> createPlugin(ImporterContext* ctx, ::ONNX_N
 // Helper function to return the identity of a TensorOrWeights
 TensorOrWeights identity(ImporterContext* ctx, TensorOrWeights input);
 
-// Helper function to create normalization layers for GroupNorm and InstanceNorm
+// Helper function to create normalization layers for GroupNorm and InstanceNorm.
 NodeOutputs normalizationHelper(ImporterContext* ctx, ::ONNX_NAMESPACE::NodeProto const& node, size_t const nodeIdx,
-    std::vector<TensorOrWeights>& inputs, bool const useV2);
+    std::vector<TensorOrWeights>& inputs, bool const useV2, bool const includeChannelAxis = false);
 
 // Given a list of axes in the range of [-rank, rank-1], where rank is the rank
 // of the corresponding data tensor, normalize to [0, rank-1].
diff --git a/onnxOpImporters.cpp b/onnxOpImporters.cpp
index e8145975..4ffa69a1 100644
--- a/onnxOpImporters.cpp
+++ b/onnxOpImporters.cpp
@@ -2649,7 +2649,7 @@ DEFINE_BUILTIN_OP_IMPORTER(GreaterOrEqual)
 DEFINE_BUILTIN_OP_IMPORTER(GroupNormalization)
 {
     bool const useV2 = ctx->getOpsetVersion() >= 21;
-    return normalizationHelper(ctx, node, nodeIdx, inputs, useV2);
+    return normalizationHelper(ctx, node, nodeIdx, inputs, useV2, /*includeChannelAxis=*/true);
 }
 
 // singlePassShape is the shape of the output from a single pass.
diff --git a/onnx_backend_test.py b/onnx_backend_test.py
index f62004ad..7ecdfda7 100644
--- a/onnx_backend_test.py
+++ b/onnx_backend_test.py
@@ -158,6 +158,7 @@
 backend_test.include(r'.*test_split.*custom.*')
 backend_test.include(r'.*test_instancenorm_.*_custom.*')
 backend_test.include(r'.*test_slice.*custom.*')
+backend_test.include(r'.*test_group_normalization_.*')
 
 
 # exclude unenabled ops get pulled in with wildcards