diff --git a/onnxruntime/core/framework/execution_frame.cc b/onnxruntime/core/framework/execution_frame.cc
index c5323c4e0a..4f4f42c091 100644
--- a/onnxruntime/core/framework/execution_frame.cc
+++ b/onnxruntime/core/framework/execution_frame.cc
@@ -89,7 +89,7 @@ Status ExecutionFrame::AllocateMLValueTensorSelfOwnBufferHelper(int mlvalue_inde
     if (len < 0) {
       return Status(ONNXRUNTIME, INVALID_ARGUMENT, "Tensor shape cannot contain any negative value");
     }
-    if (!IAllocator::CalcMemSizeForArray(len, element_type->Size(), &size)) {
+    if (!IAllocator::CalcMemSizeForArrayWithAlignment<64>(len, element_type->Size(), &size)) {
       return Status(ONNXRUNTIME, FAIL, "size overflow");
     }
   }
diff --git a/onnxruntime/test/framework/execution_frame_test.cc b/onnxruntime/test/framework/execution_frame_test.cc
index 8125bcb0dd..e2b741cffd 100644
--- a/onnxruntime/test/framework/execution_frame_test.cc
+++ b/onnxruntime/test/framework/execution_frame_test.cc
@@ -257,9 +257,9 @@ TEST(ExecutionFrameTest, MemPatternTest) {
   EXPECT_EQ(pattern.patterns.size(), pattern.locations.size());
   EXPECT_EQ(pattern.patterns.size(), 1);
   auto p = pattern.GetPatterns(cpu_allocator->Info());
-  EXPECT_EQ(p->PeakSize(), sizeof(float) * (4 + 6));
+  EXPECT_EQ(p->PeakSize(), 2 * 64); // each allocation is 64-byte aligned
   EXPECT_EQ(p->GetBlock(3)->offset_, 0);
-  EXPECT_EQ(p->GetBlock(4)->offset_, sizeof(float) * 4);
+  EXPECT_EQ(p->GetBlock(4)->offset_, 64);
 }
 }  // namespace test
 }  // namespace onnxruntime