metadata
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:
# 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