Model running on CPU when using NNAPI even with NnApiDelegate.Options().useNnapiCpu = false
Apologies, it seems I wasn't passing options when creating the Interpreter. Now it is crashing with 
                java.lang.RuntimeException: java.lang.IllegalArgumentException: Internal error: Error applying delegate: 
                
I'll make a new issue for that. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61100">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/61100">No</a>

<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

No

### Source

binary

### Tensorflow Version

tensorflow-lite 2.12.0

### Custom Code

Yes

### OS Platform and Distribution

_No response_

### Mobile device

Google Pixel 7

### Python version

_No response_

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

I am running the OpenAI whisper tiny model on Android using the TensorFlow Lite NNAPI delegate. It seems to be running on the CPU instead of the hardware accelerator on the Google Pixel 7 even though "NnApiDelegate.Options().useNnapiCpu = false" is set.

### Standalone code to reproduce the issue

```shell
NnApiDelegate.Options().useNnapiCpu = false
```


### Relevant log output

```shell
W  Access denied finding property "ro.mediatek.platform"
W  Access denied finding property "ro.chipname"
W  Access denied finding property "ro.hardware.chipname"
I  Created TensorFlow Lite XNNPACK delegate for CPU.
```
</details>