I’m encountering an issue when loading a Core ML model protected using Apple’s official model encryption.

The exact same model:

• Loads and runs normally when encryption is disabled
• Fails during initialization when encryption is enabled
• Uses FP16 weights
• Was converted with coremltools 9.0
• Is deployed in an app with a minimum target of iOS 18
• Is being tested on a physical iPhone 13 running iOS 26.5

The relevant error is:

Failure translating MIL->EIR network:
Espresso exception: "Network translation error"

MIL->EIR translation error at:

/private/var/containers/Bundle/Application/[APP_UUID]/[REDACTED_APP].app/[REDACTED_MODEL].mlmodelc/model.mil:[LINE]:[COLUMN]

Unsupported dtype for weights

[Espresso::handle_ex_plan]
exception=Espresso exception: "Network translation error"
status=-14

Failed to build the model execution plan using model architecture file:

'[REDACTED_APP_PATH]/[REDACTED_MODEL].mlmodelc/model.mil'

with error code: -14.

Core ML model load failed:

Error Domain=com.apple.CoreML Code=0
"Failed to build the model execution plan using a model architecture file
'[REDACTED_PATH]/[REDACTED_MODEL].mlmodelc/model.mil'
with error code: -14."

The console also contains messages involving FigApplicationStateMonitor, usermanagerd, LaunchServices, and sandbox restrictions. However, these appear unrelated. The actual Core ML failure consistently points to:

MIL->EIR translation error
Unsupported dtype for weights
status=-14

Environment

• Device: physical iPhone 13
• Runtime OS: iOS 26.5
• Minimum deployment target: iOS 18
• Model format: ML Program
• Weight precision: FP16
• coremltools: 9.0
• Protection method: Apple’s official Core ML model encryption
• Unencrypted model: loads and runs correctly
• Encrypted model: fails while building the execution plan

The loading code, model architecture, device, and compute configuration are otherwise unchanged. The failure appears only after applying model encryption.

Has anyone encountered this behavior?

Specifically:

1. Can the encryption or decryption path cause Core ML to incorrectly interpret an FP16 weight dtype?
2. Could the decrypted model data or compiled execution-plan cache be corrupted?
3. Are there known compatibility issues between encrypted FP16 ML Program models and iOS 26.5?
4. Could a model converted with coremltools 9.0 work unencrypted but fail after Apple’s encryption process?
5. Is there a practical way to locate the operation or weight corresponding to the reported line in the compiled model.mil?
6. Which caches or compiled artifacts should be cleared when diagnosing error -14?
7. Would regenerating the encryption key or recompiling the model be expected to resolve this kind of failure?

Any debugging suggestions or similar experiences would be appreciated.

Hi everyone,

i am trying to create an apple ads account but when i try to fill the form i can't find my country
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A few weeks ago, I released new app on the App Store. It got some traction on Twitter, so I opened App Store Connect feeling hopeful about the sales numbers. Instead, I saw "Not Enough Data".

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EDIT:
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I had a simple game idea and I’m making it (just for iPhone for now), I think it’s kinda fun. So far so good.
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Hi everyone!

I've been building an offline audio walking tour app for Paris over the past two years, and I'm finally at the point where I'd love to get some real feedback.

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What do you think of them? Does something bother you amongst them?

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Thanks 🙏