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# The best of seven AI models read analogue clocks exactly right 22.6% of the time on ClockQA
- URL: https://aiadoption.org/data/clockqa-analogue-clock-reading/
- Published: 2026-10-19T15:55:16.000Z
- Updated: 2026-10-21T06:02:43.000Z
- Description: Asked to read the time on 62 analogue clock images, the best of seven multimodal models, Gemini-2.0, was exactly right 22.6% of the time. GPT-4o managed 8.1% and Qwen2-VL-7B none.
- Author: Manu
- Tags: Data, AI Benchmarks, Computer Vision, #chart, #ai-index-2026, #hub-benchmarks

22.6%

#1 of 7

share of ClockQA clocks Gemini-2.0 read exactly right, the best of seven models; GPT-4o managed 8.1%

Gemini-2.022.6%

GPT-4o8.1%

Claude-3.5-sonnet6.5%

## What the chart shows

Saxena et al. (2025) asked seven multimodal models to tell the time from 62 analogue clock images in six styles, including black dials and clocks without a second hand. Gemini-2.0 gave the exact time for 22.6% of them, the best result, ahead of GPT-4o (8.1%) and Claude-3.5-sonnet (6.5%).

The reasoning model GPT-o1 managed 4.8%, and Qwen2-VL-7B read none correctly. The task combines spotting the hands with simple arithmetic, so an error in one step carries into the next.

## Key numbers

| Measure           | Value  |
| ----------------- | ------ |
| Gemini-2.0        | 22.58% |
| GPT-4o            | 8.06%  |
| Claude-3.5-sonnet | 6.45%  |
| GPT-o1            | 4.84%  |
| Qwen2-VL-7B       | 0%     |

## How to read it

- Exact match means the predicted time matched the clock exactly; near misses count as wrong.
- A small test: with 62 images, each one is worth about 1.6 percentage points.
- Newer models were tested on a larger clock benchmark ([related chart](https://aiadoption.org/data/clockbench-leaderboard/)).

**Source:** [Saxena et al.](https://aiadoption.org/sources/#saxena-2025-lost-in-time), 2025, via the AI Index Report 2026 (Stanford HAI), figure 2.4.6: *ClockQA: exact match*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/clockqa-analogue-clock-reading.csv?ref=aiadoption.org) · [Cite this chart](#source)