[Mobile] same model returns different result between java and android enviroment

Describe the issue

I tried using onnxruntime to run chinese-clip model on android enviroment.
Because i am familiar with java, So I written the code in java first. And the result is as the same as the official python version.
When I transfer the code to android studio, I found that the result is different.
I hava already checked the input tensor, code dependencies, all that same.
Below is my core code fragments about onnx running.

        InputStream imgInput = this.getClass().getClassLoader().getResourceAsStream("img_quant.onnx");
        assert imgInput != null;
        OrtSession session = ortEnv.createSession(IOUtils.toByteArray(imgInput));
       ... ...
       Map<String, OnnxTensor> inputMap = new HashMap<>();
        String inputName = session.getInputNames().iterator().next();
        String outputName = session.getOutputNames().iterator().next();

        inputMap.put(inputName, inputTensor);
        OrtSession.Result result = session.run(inputMap);

the same input tensors: (saved the data and checked with vimdiff)

different outputs:

And the core dependencies are the same:

com.microsoft.onnxruntime:onnxruntime-android:1.15.0
org.nd4j:nd4j-native-platform:1.0.0-M2.1

Any thoughts or comments on this problem?

To reproduce

See above for details

Urgency

No response

Platform

Android

OS Version

android studio emulator arm64-v8a

ONNX Runtime Installation

Released Package

Compiler Version (if 'Built from Source')

No response

Package Name (if 'Released Package')

onnxruntime-android

ONNX Runtime Version or Commit ID

1.15.0

ONNX Runtime API

Java/Kotlin

Architecture

ARM64

Execution Provider

Default CPU

Execution Provider Library Version

No response