# Metric Depth Estimation on DepthVLM-Bench 1.0 (test)

Source: [Metric Depth Estimation on DepthVLM-Bench 1.0 (test)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-18T08:28:12.416Z

Evaluation of Metric Depth Estimation performance across multiple datasets (including Argoverse2, Waymo, NYUv2, etc.) using the DepthVLM-Bench 1.0 protocol on the test split, reporting delta1 accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Metric Depth Estimation |
| Dataset (including any stated split) | DepthVLM-Bench 1.0 (test) |
| Metric | Delta1 Accuracy (Argoverse2) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 16 of 16 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Delta1 Accuracy (Argoverse2)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(Argoverse2)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (Waymo)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(Waymo)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (DDAD)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(DDAD)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (NuScenes)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(NuScenes)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (ETH3D)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(ETH3D)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (ScanNet++)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(ScanNet%2B%2B)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (sunRGBD)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(sunRGBD)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (IBims-1)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(IBims-1)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (NYUv2)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(NYUv2)>): Higher is better; unit: PERCENT.

- [Delta1 Accuracy (Average)](<https://www.sota2.com/research/sota/metric-depth-estimation-on-depthvlm-bench-1-0-test.md?metric=Delta1%20Accuracy%20(Average)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Delta1 Accuracy (Argoverse2) | Result date | Report paper |
| --- | --- | --- | --- |
| Ours-4B | 81 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Ours-8B | 79.8 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| DepthLM-12B | 76.1 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Youtu-VL-4B | 66.3 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| GPT-5.5 | 37.8 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| GPT-4o | 14.1 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| InternVL3.5-8B | 13.9 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| InternVL3.5-38B | 13.1 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Qwen3-VL-8B | 11.9 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| InternVL3.5-14B | 8.6 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| SpatialRGPT-8B | 4.5 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Qwen3-VL-4B | 3.3 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Qwen3-VL-32B | 2.9 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| SpaceLLaVA-13B | 0.6 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Cambrian-S-7B | 0.6 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |
| Always Output 2.0m | 0.2 | Not recorded | 6a0a9cecdbc836b87d82b2f8 |

### Ours-4B

Delta1 Accuracy (Argoverse2): 81. Result ID: 6a0acd3c47f34ce924f0e3c5.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Implementation](<https://github.com/hanxunyu/DepthVLM>)

Recorded evaluation configuration: {"Category":"VLMs Trained on Metric Depth Estimation","Backbone":"Qwen3-VL-4B"}. This record does not assert independent reproduction.

### Ours-8B

Delta1 Accuracy (Argoverse2): 79.8. Result ID: 6a0acd3c47f34ce924f0e3c6.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Implementation](<https://github.com/hanxunyu/DepthVLM>)

Recorded evaluation configuration: {"Category":"VLMs Trained on Metric Depth Estimation","Backbone":"Qwen3-VL-8B"}. This record does not assert independent reproduction.

### DepthLM-12B

Delta1 Accuracy (Argoverse2): 76.1. Result ID: 6a0acd3c47f34ce924f0e3c4.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bc11e209131cea8a370.md>)

Recorded evaluation configuration: {"Category":"VLMs Trained on Metric Depth Estimation"}. This record does not assert independent reproduction.

### Youtu-VL-4B

Delta1 Accuracy (Argoverse2): 66.3. Result ID: 6a0acd3c47f34ce924f0e3c3.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6979985ea2b28e761d87ce34.md>)

[Implementation](<https://github.com/TencentCloudADP/youtu-vl>)

Recorded evaluation configuration: {"Category":"VLMs Trained on Metric Depth Estimation"}. This record does not assert independent reproduction.

### GPT-5.5

Delta1 Accuracy (Argoverse2): 37.8. Result ID: 6a0acd3c47f34ce924f0e3b9.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/695f39f053fdd5c361743ecb.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### GPT-4o

Delta1 Accuracy (Argoverse2): 14.1. Result ID: 6a0acd3c47f34ce924f0e3b8.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75681e209131cea67a98.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### InternVL3.5-8B

Delta1 Accuracy (Argoverse2): 13.9. Result ID: 6a0acd3c47f34ce924f0e3bd.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7af01e209131cea85dc9.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### InternVL3.5-38B

Delta1 Accuracy (Argoverse2): 13.1. Result ID: 6a0acd3c47f34ce924f0e3bf.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7af01e209131cea85dc9.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### Qwen3-VL-8B

Delta1 Accuracy (Argoverse2): 11.9. Result ID: 6a0acd3c47f34ce924f0e3bb.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6927db54d6b0dd3342930f66.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### InternVL3.5-14B

Delta1 Accuracy (Argoverse2): 8.6. Result ID: 6a0acd3c47f34ce924f0e3be.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7af01e209131cea85dc9.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### SpatialRGPT-8B

Delta1 Accuracy (Argoverse2): 4.5. Result ID: 6a0acd3c47f34ce924f0e3c1.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75321e209131cea66538.md>)

[Implementation](<https://www.anjiecheng.me/SpatialRGPT>)

Recorded evaluation configuration: {"Category":"Spatial-Enhanced VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### Qwen3-VL-4B

Delta1 Accuracy (Argoverse2): 3.3. Result ID: 6a0acd3c47f34ce924f0e3ba.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6927db54d6b0dd3342930f66.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### Qwen3-VL-32B

Delta1 Accuracy (Argoverse2): 2.9. Result ID: 6a0acd3c47f34ce924f0e3bc.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6927db54d6b0dd3342930f66.md>)

Recorded evaluation configuration: {"Category":"General-Purpose VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### SpaceLLaVA-13B

Delta1 Accuracy (Argoverse2): 0.6. Result ID: 6a0acd3c47f34ce924f0e3c0.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71f91e209131cea53d86.md>)

[Implementation](<https://spatial-vlm.github.io/>)

Recorded evaluation configuration: {"Category":"Spatial-Enhanced VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### Cambrian-S-7B

Delta1 Accuracy (Argoverse2): 0.6. Result ID: 6a0acd3c47f34ce924f0e3c2.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/690d7cfb2828b7cc6937cd50.md>)

Recorded evaluation configuration: {"Category":"Spatial-Enhanced VLMs","Prompting Strategy":"DepthLM \[9\]"}. This record does not assert independent reproduction.

### Always Output 2.0m

Delta1 Accuracy (Argoverse2): 0.2. Result ID: 6a0acd3c47f34ce924f0e3b7.

[Reporting paper](<https://www.sota2.com/research/paper/6a0a9cecdbc836b87d82b2f8.md>)

Recorded evaluation configuration: {"Category":"Naive Prediction with Constant Answers"}. This record does not assert independent reproduction.

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