Radeon RX 7900 XTX
AMD · Consumer GPU · 2022
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Price checked Jul 23, 2026
Performance Benchmarks
Image Generation all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
SDXL Turbo
FP16 ROCm |
images per minute |
40
img/min
ComfyUI · 2025-06-01
|
Independent benchmark Tom's Hardware GPU Benchmarks 2025 ↗ |
LLM Inference all sourced rows →
| Model | Metric | Value | Source |
|---|---|---|---|
|
Llama-3.1-8B
Q4_K_M Token generation: single user, batch 1, 4k context, mean of 3 runs |
tokens per second |
76
tok/s
llama.cpp b3500 (ROCm) · 2026-05-22
|
Unverified community MyAIHardware llama.cpp Benchmarks ↗ |
|
Llama-3.1-8B
Q4_K_M Prompt processing: 512-token prompt, batch 1, mean of 3 runs |
prompt tokens per second |
2,100
tok/s
llama.cpp b3500 (ROCm) · 2026-05-22
|
Unverified community MyAIHardware llama.cpp Benchmarks ↗ |
Full Specifications
Related GPUs
Common Questions
Can the Radeon RX 7900 XTX run local LLMs?
Yes, if the model fits in its 24 GB of memory — VRAM capacity decides which models load at all, while its 960 GB/s of bandwidth decides how fast tokens generate. With 24 GB or more it can hold large quantized models such as 70B-class LLMs in reduced precision, and our model pages list exact VRAM fits per model.
How much VRAM does the Radeon RX 7900 XTX have?
Radeon RX 7900 XTX has 24 GB of video memory with 960 GB/s of memory bandwidth and a 355 W TDP , per the specification values in our hardware database.
Is the Radeon RX 7900 XTX worth it for AI workloads?
At a $999 MSRP, its value depends on whether your models fit in 24 GB. Compare its VRAM and bandwidth against your target models with our VRAM calculator, or see how it stacks up in head-to-head comparisons.
Guides & Tools
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