OpenAIWhisper Large V3 Turbo on AMD Radeon RX 7900 XTX
Yes — AMD Radeon RX 7900 XTX handles Whisper Large V3 Turbo well at FP16 — real-time capable. Solid daily-driver performance on 24 GB VRAM.
Model Size
810M
Device VRAM
24 GB
Bandwidth
960 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Whisper Large V3 Turbo on AMD Radeon RX 7900 XTX at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 80ms | ✓ Yes | Good | estimated |
Notes
FP16
ROCm can run large models well on RDNA 3, though CUDA equivalents still have broader tooling support. FP16 fits in VRAM on this card.
About Whisper Large V3 Turbo
Whisper Large V3 Turbo (810M) is a transcription model. Distilled version of Whisper Large V3. 8x faster than the full model with minimal quality loss. The go-to for real-time transcription on local hardware. Runs comfortably on any GPU with 2GB+ VRAM.
View all Whisper Large V3 Turbo hardware options →About AMD Radeon RX 7900 XTX
AMD Radeon RX 7900 XTX has 24 GB at 960 GB/s. Street price: $849.
See all models AMD Radeon RX 7900 XTX can run →Builds with AMD Radeon RX 7900 XTX
Estimate method: Estimated from rtx-3090 compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.