diff --git a/onnxruntime/contrib_ops/cuda/quantization/qordered_ops/qordered_matmul.cc b/onnxruntime/contrib_ops/cuda/quantization/qordered_ops/qordered_matmul.cc
index 566d36b279..f939a0e895 100644
--- a/onnxruntime/contrib_ops/cuda/quantization/qordered_ops/qordered_matmul.cc
+++ b/onnxruntime/contrib_ops/cuda/quantization/qordered_ops/qordered_matmul.cc
@@ -151,7 +151,7 @@ Status QOrderedMatMul::ComputeInternal(OpKernelContext* context) const {
   TensorShape shapeY(tensor_A.Shape());
   shapeY[shapeY.NumDimensions() - 1] = colsB;
 
-  const float zero = 0.0f;
+  constexpr float zero = 0.0f;
   const int8_t* C = nullptr;
   const float* scaleC = &zero;
   const Tensor* tensor_C = context->Input<Tensor>(6);
diff --git a/onnxruntime/core/providers/cpu/quantization/qlinearconv.cc b/onnxruntime/core/providers/cpu/quantization/qlinearconv.cc
index f6e3d96943..ff1230012b 100644
--- a/onnxruntime/core/providers/cpu/quantization/qlinearconv.cc
+++ b/onnxruntime/core/providers/cpu/quantization/qlinearconv.cc
@@ -815,7 +815,7 @@ Status QLinearConv<ActType>::Compute(OpKernelContext* context) const {
     }
 
     auto conv_worker = [&](ptrdiff_t batch) {
-      int64_t output_start = batch * stride_m;
+      int64_t output_start = (int64_t)batch * (int64_t)stride_m;
       int64_t output_count = std::min((int64_t)stride_m, output_image_size - output_start);
 
       ActType const** worker_indirection_buffer = nullptr;