---
language:
- en
- zh
tags:
- coreml
- depth-estimation
- panoramic
- ane
- apple-neural-engine
- quantized
- int8
- ios
license: apache-2.0
pipeline_tag: depth-estimation
---

# DAP (Depth Anything Panoramic) - 256x512 INT8 CoreML Model

This repository contains the quantized CoreML model for **Depth Anything Panoramic (DAP)**, tailored and optimized for Apple Neural Engine (ANE) on iOS devices (e.g. iPhone 15 / iPhone 16 series).

## Model Overview

- **Architecture**: Depth Anything V2 Panoramic Backbone (DAP)
- **Input Resolution**: `256 x 512` (Equirectangular Panoramic Frame, RGB, 3 channels)
- **Quantization**: INT8 Linear Weight Quantization
- **Runtime Acceleration**: Apple Neural Engine (ANE) + MPSGraph
- **Package Format**: Apple CoreML `.mlpackage`
- **Compressed Archive**: `dap_256x512_int8.mlpackage.zip` (277 MB)

## Benchmark Performance on Hardware (iPhone 15)

| Metric | Measured Value |
| :--- | :--- |
| **Engine / Compute Unit** | Apple Neural Engine (`.all`) |
| **Average Inference Latency** | **82.5 ms** (~12.1 FPS) |
| **Cold Start / Load Latency** | ~650 ms |
| **Runtime Memory Peak** | **410 MB** |
| **Output Metric** | Relative / Metric Depth Map (`256 x 512`, FP32) |

## Quickstart (Download & Extract)

You can download and extract the model into your WalkMate project or custom iOS application using:

```bash
# Download
curl -L -o dap_256x512_int8.mlpackage.zip https://huggingface.co/Sysking/dap-quantized/resolve/main/dap_256x512_int8.mlpackage.zip

# Extract
unzip dap_256x512_int8.mlpackage.zip
```