# Apple Silicon M1/M2 (Pro, Max, Ultra) VideoAI Performance — Neural Engine or GPU?

**URL:** <https://community.topazlabs.com/t/apple-silicon-m1-m2-pro-max-ultra-videoai-performance-neural-engine-or-gpu/39201>\
**Category:** General\
**Tags:** reviewed\
**Created:** [January 24, 2023, 9:49am UTC](https://community.topazlabs.com/t/apple-silicon-m1-m2-pro-max-ultra-videoai-performance-neural-engine-or-gpu/39201 "2023-01-24T09:49:15Z")\
**Posts on this page:** 1\
**Showing post:** 25

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**Author:** ![brock.gunter-smith](https://community.topazlabs.com/user_avatar/community.topazlabs.com/brock.gunter-smith/32/95610_2.png) [@brock.gunter-smith](https://community.topazlabs.com/u/brock.gunter-smith)\
**Post date:** [February 2, 2023, 2:27pm UTC](https://community.topazlabs.com/t/apple-silicon-m1-m2-pro-max-ultra-videoai-performance-neural-engine-or-gpu/39201/25 "2023-02-02T14:27:39Z")

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You can monitor how much the CPU, GPU and ANE are being utilized if you use the python tool asitop.

> **[GitHub - tlkh/asitop: Perf monitoring CLI tool for Apple Silicon](https://github.com/tlkh/asitop)**
>
> Perf monitoring CLI tool for Apple Silicon. Contribute to tlkh/asitop development by creating an account on GitHub.

Basically just open a terminal and install using

```auto
pip3 install asitop

```

if pip3 isn’t linked then just use

```auto
pip install asitop

```

and then run using

```auto
sudo asitop

```

Here for example you can see that when I process a video from FHD to 4K using Video AI 3.1.2 that the GPU and ANE are almost fully being utilized, with the CPU still contributing quite a bit. Different models and encoding options will change the utilization, but this is the simplest way to monitor that. Below are two screenshots of my test right now.

Before I start exporting the video:

 ![Screenshot 2023-02-02 at 8.19.24 AM](https://community-cdn.topazlabs.com/original/3X/4/d/4dd0e084e51c9f5650d58cf1d8325afc760b59d4.jpeg)

While I am exporting the video:

 ![Screenshot 2023-02-02 at 8.21.44 AM](https://community-cdn.topazlabs.com/original/3X/3/2/32629c68b5a8c2ec3bb5b2e5f61cd29df4d48110.jpeg)

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