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Hardware and Speed

github-actions[bot] edited this page Oct 24, 2026 · 1 revision

Hardware and speed

Sabhalekh works on any Windows 10/11 PC with 8 GB of RAM. A graphics card is not required, but it roughly halves the processing time.

Where does the work happen?

The badge at the bottom left of the window tells you:

Badge Meaning
GPU Mode: GTX 1650 (or your card) Speech recognition runs on your graphics card. Fastest. NVIDIA, AMD and Intel cards all work.
iGPU Mode: Radeon Graphics (or similar) It runs on the graphics built into your processor. About as fast as a graphics card on most laptops.
CPU Mode (6 threads) It runs on the processor. Works everywhere, takes about twice as long.

Speaker detection always runs on the CPU. It's fast there (about 40 times faster than real time) and it leaves the graphics memory free.

How long does it take?

Measured on a laptop with a GTX 1650 (4 GB), AMD Radeon built-in graphics and a Ryzen 5 5600H:

Device Speech recognition A one-hour meeting, ready in about
GTX 1650 graphics card 18× faster than real time 5 minutes
Radeon built-in graphics 19× faster than real time 5 minutes
CPU only 8× faster than real time 9 minutes

Older or slower PCs take longer, newer ones less. You can keep working, and record new meetings, while a meeting is processed.

Memory

Sabhalekh uses about 0.7 GB of graphics memory (or shared memory) and a little over 1 GB of RAM while processing. After each meeting it releases all of it, so it doesn't slow down Teams or Zoom when idle.

Choosing a device yourself

Settings → Hardware → Processing profile:

Profile When to pick it
Auto (default) Graphics card if it has at least 1.2 GB of free memory, otherwise built-in graphics, otherwise CPU.
High-performance GPU / Discrete GPU, low VRAM Force the graphics card.
Integrated GPU Keep your graphics card free for games or other work; speech recognition runs on the built-in graphics at almost the same speed.
CPU Leave all graphics hardware alone.
Fast CPU Slow PCs: uses a lighter setting for speed. Slightly less accurate.

If the graphics card runs out of memory during a meeting (because a game or another app is using it), Sabhalekh moves to the next device by itself and continues from where it stopped. You don't lose the job.

The Hardware section

Settings → Hardware lists what Sabhalekh found:

Hardware settings

  • GPU and Integrated GPU: your graphics hardware.
  • Vulkan (Nemotron): the devices the speech model can use. "Not available" usually means the graphics driver needs an update.
  • NVIDIA CUDA (Whisper packs): only matters if you installed the Accuracy pack. See Offline model packs.
  • Re-detect checks again, for example after a driver update.

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