software-mansion/react-native-executorch-depth-anything-v3

depth-anything-v3

This repository hosts Depth Anything 3 Small (single-image depth estimation) exported for the React Native ExecuTorch library as ExecuTorch .pte programs, ready to run on device.

Upstream model: depth-anything/DA3-SMALL, revision e08cab65ca0ec38e7826075418411ab90cab4da3.

Variants

Path	Backend	Precision
small/coreml/depth_anything_v3_small_coreml_fp16.pte	coreml	fp16
small/vulkan/depth_anything_v3_small_vulkan_fp16.pte	vulkan	fp16
small/xnnpack/depth_anything_v3_small_xnnpack_fp32.pte	xnnpack	fp32
small/xnnpack/depth_anything_v3_small_xnnpack_int8.pte	xnnpack	int8

XNNPACK int8

The INT8 export uses dynamic INT8 activations and per-channel INT8 weights for linear layers; convolutions remain floating point. Public inputs and outputs remain float32.

Numerical agreement with the float reference on three photos (cats and the two official DA3 SOH examples) and four upstream example illustrations:

Image	Range-normalized RMSE	Correlation
depth_cats	0.51%	0.999855
SOH/000	0.75%	0.999915
SOH/010	0.66%	0.999924
demo17	1.50%	0.998355
demo18	0.31%	0.999875
demo19	0.81%	0.999865
demo20	1.21%	0.999060

Range-normalized RMSE is RMSE divided by the reference depth range. The worst value was 1.50%, with a minimum correlation of 0.998355. These are numerical export checks, not depth-accuracy benchmarks.

Repository structure

config.json                                              39 B
small/coreml/config.json                                 879 B
small/coreml/depth_anything_v3_small_coreml_fp16.pte     70.9 MB
small/vulkan/config.json                                 879 B
small/vulkan/depth_anything_v3_small_vulkan_fp16.pte     56.4 MB
small/xnnpack/config.json                                1.5 kB
small/xnnpack/depth_anything_v3_small_xnnpack_fp32.pte   106.5 MB
small/xnnpack/depth_anything_v3_small_xnnpack_int8.pte   40.6 MB

Compatibility

These files are published for the ExecuTorch v1.4.1 runtime. ExecuTorch gives no forward compatibility guarantee, so an older runtime may fail to load them.

For React Native ExecuTorch model loading, see the documentation. To load these files in your own runtime, read the compatibility note first.