# Yolo26 Performance expectationa

**URL:** <https://community.ultralytics.com/t/yolo26-performance-expectationa/1937>\
**Category:** Discussion\
**Tags:** discussion, question, community\
**Created:** [April 16, 2026, 4:48pm UTC](https://community.ultralytics.com/t/yolo26-performance-expectationa/1937 "2026-04-16T16:48:11Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![dj3000](https://avatars.discourse-cdn.com/v4/letter/d/858c86/32.png) [@dj3000](https://community.ultralytics.com/u/dj3000)\
**Post date:** [April 16, 2026, 4:48pm UTC](https://community.ultralytics.com/t/yolo26-performance-expectationa/1937/1 "2026-04-16T16:48:11Z")

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Hi

I am running yolo26 nativly on my PC, Raspberry Pi and then will expirment with it using Hailo-8. Are there any documents or topics that show what the processing performance rate would be to expect for each platform?

What is the fastest processing we should expect?

Also, can we extract information on how well a frame has been processed for comparison purposes?

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<div class="post-metadata">

**Author:** ![Toxite](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/toxite/32/123_2.png) [@Toxite](https://community.ultralytics.com/u/Toxite)\
**Post date:** [April 16, 2026, 11:54pm UTC](https://community.ultralytics.com/t/yolo26-performance-expectationa/1937/2 "2026-04-16T23:54:41Z")

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You can check the benchmark in the docs:

> **[Detailed Comparison Table - Quick Start Guide: Raspberry Pi with Ultralytics...](https://docs.ultralytics.com/guides/raspberry-pi/#detailed-comparison-table)**
>
> This comprehensive guide provides a detailed walkthrough for deploying Ultralytics YOLO26 on Raspberry Pi devices. Additionally, it showcases performance benchmarks to demonstrate the capabilities of YOLO26 on these small and powerful devices. |...

With YOLO26n exported to OpenVINO on Raspberry Pi 5, you would get about 10FPS.

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<div class="post-metadata">

**Author:** ![dj3000](https://avatars.discourse-cdn.com/v4/letter/d/858c86/32.png) [@dj3000](https://community.ultralytics.com/u/dj3000)\
**Post date:** [April 17, 2026, 8:51am UTC](https://community.ultralytics.com/t/yolo26-performance-expectationa/1937/3 "2026-04-17T08:51:56Z")

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I am also streaming the video from my Raspberry Pi to my PC for develpment purpose  
I am using the YOLO26s.  
I am able to achieve a max of boxes=5 | preprocess 2.3 ms, inference 188.3 ms, postprocess 0.4 ms

Does this seem correct?

Also, the camera is able to capture 60Fps, is necessary that you need to analyse each frame. Is it a good practice to analyse alternative frames to save processing resources? As there would be repeated information in frames.

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<div class="post-metadata">

**Author:** ![Toxite](https://sea1.discourse-cdn.com/flex001/user_avatar/community.ultralytics.com/toxite/32/123_2.png) [@Toxite](https://community.ultralytics.com/u/Toxite)\
**Post date:** [April 17, 2026, 9:53am UTC](https://community.ultralytics.com/t/yolo26-performance-expectationa/1937/4 "2026-04-17T09:53:58Z")

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It seems normal. You will have to drop the frames to match inference FPS. Because your inference FPS is about 5.
