Intel AI Models

Approved models

10

Records published from this collection

Provider information

lab

Review approach

Verify each model’s source, terms, capabilities, and current availability

Intel models in this directory cover depth estimation, text-to-3d. Start with the task you need to solve, then open a model profile to check its recorded inputs, outputs, licensing and deployment options.

Models to explore

Choosing a model

Check whether the output is relative or metric depth and whether scale is stable across scenes. Test indoor and outdoor examples, reflective surfaces and the downstream geometry pipeline.

Compare the right details

Check whether two entries describe distinct models or different hosted routes for the same model. Keep the checkpoint, host, test settings and evaluation date together. Missing prices and limits mean the directory has no recorded figure, not that use is free or unlimited.

Browse the AI model directory or compare two models.

Intel model list

Review each record individually; collection membership does not imply a recommendation or guarantee of availability.

10 models
Intel/dpt-beit-base-384
Intel
10.0————
Intel/dpt-hybrid-midas
Intel
10.0————
Intel/dpt-large
Intel
10.0————
Intel/dpt-swinv2-tiny-256
Intel
10.0————
Intel/ldm3d
Intel
5.0————
Intel/ldm3d-4c
Intel
5.0————
Intel/ldm3d-pano
Intel
5.0————
Intel/ldm3d-sr
Intel
5.0————
Intel/zoedepth-nyu
Intel
10.0————
Intel/zoedepth-nyu-kitti
Intel
10.0————

1–10 of 10 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

About Intel models

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.