diff --git a/js/react_native/ios/OnnxruntimeModuleTest/Resources/test_types_uint8.ort b/js/react_native/ios/OnnxruntimeModuleTest/Resources/test_types_uint8.ort
new file mode 100644
index 0000000000..9f53108033
Binary files /dev/null and b/js/react_native/ios/OnnxruntimeModuleTest/Resources/test_types_uint8.ort differ
diff --git a/js/react_native/ios/OnnxruntimeModuleTest/TensorHelperTest.mm b/js/react_native/ios/OnnxruntimeModuleTest/TensorHelperTest.mm
index e2fd4ec7c6..3ed082e222 100644
--- a/js/react_native/ios/OnnxruntimeModuleTest/TensorHelperTest.mm
+++ b/js/react_native/ios/OnnxruntimeModuleTest/TensorHelperTest.mm
@@ -73,6 +73,14 @@ static void testCreateInputTensorT(const std::array<T, 3> &outValues, std::funct
   testCreateInputTensorT<bool>(outValues, convert, ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL, JsTensorTypeBool);
 }
 
+- (void)testCreateInputTensorUInt8 {
+  std::array<uint8_t, 3> outValues{std::numeric_limits<uint8_t>::min(), 2, std::numeric_limits<uint8_t>::max()};
+  std::function<NSNumber *(uint8_t value)> convert = [](uint8_t value) {
+    return [NSNumber numberWithUnsignedChar:value];
+  };
+  testCreateInputTensorT<uint8_t>(outValues, convert, ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8, JsTensorTypeUnsignedByte);
+}
+
 - (void)testCreateInputTensorInt8 {
   std::array<int8_t, 3> outValues{std::numeric_limits<int8_t>::min(), 2, std::numeric_limits<int8_t>::max()};
   std::function<NSNumber *(int8_t value)> convert = [](int8_t value) { return [NSNumber numberWithChar:value]; };
@@ -225,6 +233,14 @@ static void testCreateOutputTensorT(const std::array<T, 5> &outValues, std::func
   testCreateOutputTensorT<bool>(outValues, convert, JsTensorTypeBool, @"test_types_bool", @"onnx");
 }
 
+- (void)testCreateOutputTensorUInt8 {
+  std::array<uint8_t, 5> outValues{std::numeric_limits<uint8_t>::min(), 1, 2, 3, std::numeric_limits<uint8_t>::max()};
+  std::function<NSNumber *(uint8_t value)> convert = [](uint8_t value) {
+    return [NSNumber numberWithUnsignedChar:value];
+  };
+  testCreateOutputTensorT<uint8_t>(outValues, convert, JsTensorTypeUnsignedByte, @"test_types_uint8", @"ort");
+}
+
 - (void)testCreateOutputTensorInt8 {
   std::array<int8_t, 5> outValues{std::numeric_limits<int8_t>::min(), 1, -2, 3, std::numeric_limits<int8_t>::max()};
   std::function<NSNumber *(int8_t value)> convert = [](int8_t value) { return [NSNumber numberWithChar:value]; };
diff --git a/js/react_native/ios/TensorHelper.h b/js/react_native/ios/TensorHelper.h
index 40203c0cf9..f0936cce8b 100644
--- a/js/react_native/ios/TensorHelper.h
+++ b/js/react_native/ios/TensorHelper.h
@@ -13,6 +13,7 @@
  * Supported tensor data type
  */
 FOUNDATION_EXPORT NSString* const JsTensorTypeBool;
+FOUNDATION_EXPORT NSString* const JsTensorTypeUnsignedByte;
 FOUNDATION_EXPORT NSString* const JsTensorTypeByte;
 FOUNDATION_EXPORT NSString* const JsTensorTypeShort;
 FOUNDATION_EXPORT NSString* const JsTensorTypeInt;
diff --git a/js/react_native/ios/TensorHelper.mm b/js/react_native/ios/TensorHelper.mm
index eecf064d7d..00c1c79def 100644
--- a/js/react_native/ios/TensorHelper.mm
+++ b/js/react_native/ios/TensorHelper.mm
@@ -10,6 +10,7 @@
  * Supported tensor data type
  */
 NSString *const JsTensorTypeBool = @"bool";
+NSString *const JsTensorTypeUnsignedByte = @"uint8";
 NSString *const JsTensorTypeByte = @"int8";
 NSString *const JsTensorTypeShort = @"int16";
 NSString *const JsTensorTypeInt = @"int32";
@@ -137,6 +138,8 @@ static Ort::Value createInputTensorT(OrtAllocator *ortAllocator, const std::vect
   switch (tensorType) {
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT:
     return createInputTensorT<float_t>(ortAllocator, dims, buffer, allocations);
+  case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
+    return createInputTensorT<uint8_t>(ortAllocator, dims, buffer, allocations);
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8:
     return createInputTensorT<int8_t>(ortAllocator, dims, buffer, allocations);
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16:
@@ -150,7 +153,6 @@ static Ort::Value createInputTensorT(OrtAllocator *ortAllocator, const std::vect
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE:
     return createInputTensorT<double_t>(ortAllocator, dims, buffer, allocations);
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_UNDEFINED:
-  case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16:
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING:
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16:
@@ -182,6 +184,8 @@ template <typename T> static NSString *createOutputTensorT(const Ort::Value &ten
   switch (tensorType) {
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT:
     return createOutputTensorT<float_t>(tensor);
+  case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
+    return createOutputTensorT<uint8_t>(tensor);
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8:
     return createOutputTensorT<int8_t>(tensor);
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16:
@@ -195,7 +199,6 @@ template <typename T> static NSString *createOutputTensorT(const Ort::Value &ten
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE:
     return createOutputTensorT<double_t>(tensor);
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_UNDEFINED:
-  case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16:
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING:
   case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16:
@@ -219,6 +222,7 @@ NSDictionary *OnnxTensorTypeToJsTensorTypeMap;
 + (void)initialize {
   JsTensorTypeToOnnxTensorTypeMap = @{
     JsTensorTypeFloat : @(ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT),
+    JsTensorTypeUnsignedByte : @(ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8),
     JsTensorTypeByte : @(ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8),
     JsTensorTypeShort : @(ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16),
     JsTensorTypeInt : @(ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32),
@@ -230,6 +234,7 @@ NSDictionary *OnnxTensorTypeToJsTensorTypeMap;
 
   OnnxTensorTypeToJsTensorTypeMap = @{
     @(ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT) : JsTensorTypeFloat,
+    @(ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8) : JsTensorTypeUnsignedByte,
     @(ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8) : JsTensorTypeByte,
     @(ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16) : JsTensorTypeShort,
     @(ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32) : JsTensorTypeInt,