diff --git a/onnxruntime/core/providers/webnn/builders/impl/dropout_op_builder.cc b/onnxruntime/core/providers/webnn/builders/impl/dropout_op_builder.cc
index 469acbc7a7e1..5434194a214a 100644
--- a/onnxruntime/core/providers/webnn/builders/impl/dropout_op_builder.cc
+++ b/onnxruntime/core/providers/webnn/builders/impl/dropout_op_builder.cc
@@ -63,6 +63,7 @@ Status DropoutOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
     emscripten::val desc = emscripten::val::object();
     desc.set("dataType", "uint8");
     desc.set("dimensions", emscripten::val::array(dims));
+    desc.set("shape", emscripten::val::array(dims));
     const auto num_elements = narrow<uint32_t>(Product(mask_shape));
     emscripten::val ones_buffer = emscripten::val::global("Uint8Array").new_(num_elements);
     ones_buffer.call<void>("fill", 1);
diff --git a/onnxruntime/core/providers/webnn/builders/impl/shape_op_builder.cc b/onnxruntime/core/providers/webnn/builders/impl/shape_op_builder.cc
index 6b56d2c740f4..360c6588898f 100644
--- a/onnxruntime/core/providers/webnn/builders/impl/shape_op_builder.cc
+++ b/onnxruntime/core/providers/webnn/builders/impl/shape_op_builder.cc
@@ -33,6 +33,7 @@ Status ShapeOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
   emscripten::val dims = emscripten::val::array();
   dims.call<void>("push", rank);
   desc.set("dimensions", dims);
+  desc.set("shape", dims);
   emscripten::val shape_buffer = emscripten::val::global("BigInt64Array").new_(emscripten::val::array(input_shape));
   emscripten::val shape_constant = model_builder.GetBuilder().call<emscripten::val>("constant", desc, shape_buffer);
 
diff --git a/onnxruntime/core/providers/webnn/builders/model_builder.cc b/onnxruntime/core/providers/webnn/builders/model_builder.cc
index f9f8264b234b..f92fda8c7471 100644
--- a/onnxruntime/core/providers/webnn/builders/model_builder.cc
+++ b/onnxruntime/core/providers/webnn/builders/model_builder.cc
@@ -100,7 +100,11 @@ Status ModelBuilder::RegisterInitializers() {
                    [](int64_t dim) -> int32_t { return SafeInt<int32_t>(dim); });
 
     emscripten::val desc = emscripten::val::object();
+    // TODO: @Honry, remove all MLOperandDescriptor.dimensions usage in the future.
+    // MLOperandDescriptor.dimensions is deprecated in WebNN API, we need to keep it
+    // in WebNN EP for a while to support older Chromium versions.
     desc.set("dimensions", emscripten::val::array(dims));
+    desc.set("shape", emscripten::val::array(dims));
     auto data_type = tensor.data_type();
     emscripten::val operand = emscripten::val::object();
     if (IsSupportedDataType(data_type, wnn_limits_["constant"]["dataTypes"])) {
@@ -203,6 +207,7 @@ Status ModelBuilder::RegisterModelInputOutput(const NodeArg& node_arg, bool is_i
   emscripten::val desc = emscripten::val::object();
 
   desc.set("dimensions", emscripten::val::array(dims));
+  desc.set("shape", emscripten::val::array(dims));
 
   int32_t data_type;
   {  // type
@@ -303,6 +308,7 @@ Status ModelBuilder::AddOperandFromPersistMemoryBuffer(
   }
 
   desc.set("dimensions", emscripten::val::array(shape));
+  desc.set("shape", emscripten::val::array(shape));
   emscripten::val operand = emscripten::val::object();
   // Wasm memory grow will cause all array buffers reallocation, which will be treated as detached
   // buffers in JS side. Simply create a copy to fix it.
@@ -361,6 +367,7 @@ const emscripten::val& ModelBuilder::GetZeroConstant(const int32_t& data_type) {
     emscripten::val desc = emscripten::val::object();
     emscripten::val dims = emscripten::val::array();
     desc.set("dimensions", dims);
+    desc.set("shape", dims);
     emscripten::val zero_buffer = emscripten::val::undefined();
     if (!SetWebnnDataType(desc, data_type)) {
       ORT_THROW("Unsupported data type: " + std::to_string(data_type));