Sysking/dap-quantized

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:

# 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