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AMD
Operating mode
Use this to bias workload recommendations toward responsiveness, background autonomy, lighter serving, or multi-GPU scale-out.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
The Radeon RX 7700S 8GB is a slim/performance-segment RDNA 3 mobile GPU designed for thinner laptops. It uses a lower TDP configuration of the Navi 33 die. Community ROCm support is technically possible for RDNA 3 but less tested on slim-segment mobile parts. Vulkan inference via llama.cpp is the practical approach for AI workloads, and 8 GB of GDDR6 is sufficient for 7B Q4 models.
Beyond LLMs
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model | Detail |
|---|---|---|---|
| LLM Chat (7B) | Runs natively | Llama 3.1 8B Q4 | — |
| LLM Coding (30B) | Won’t fit | Qwen 3 30B Q4 | — |
| LLM Large (70B) | Won’t fit | Llama 3.1 70B Q4 | — |
| Image Gen (SDXL) | Runs with sequential offload | SDXL 1.0 FP16 | ~~46.7s per image |
| Image Gen (Flux) | Won't fit | Flux.1 Dev FP16 | ~~1m 19s per image |
| Image Gen (SD 3.5) | Won't fit | SD 3.5 Large FP16 | ~~1m 37s per image |
| Video Short (25f) | Won't fit | LTX Video 2B | ~~15.3s/frame |
| Video Long (100f) | Won't fit | Wan Video 14B | ~~45s/frame |
Architecture
RDNA 3 is AMD's chiplet-based GPU architecture, combining a 5nm Graphics Compute Die (GCD) with 6nm Memory Cache Dies (MCDs). It introduces AI accelerators and a new unified compute unit design.
AI Relevance
ROCm support for RDNA 3 is maturing but lags behind NVIDIA's CUDA ecosystem. AI accelerator units provide some inference acceleration, but lack the dedicated Tensor Core equivalent found in NVIDIA GPUs.
Buying advice
Usable for local AI with limits
Can run 7 of 50 top models, mostly smaller ones. Larger models need heavy quantization or won't fit.
8.0 GB
VRAM
Best models for this GPU
What will limit you first
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best upgrade itinerary
Unlocks 33 additional models that do not fit on the current setup.
Want more headroom? RTX 3080 10GB (10.0 GB VRAM) is the next step up.
Chat
SThis model is a direct match for chat. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Coding
SThis model is a direct match for coding. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Agentic Coding
AThis model is still usable for agentic-coding, but it is not the most specialized pick. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Reasoning
SThis model is a direct match for reasoning. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama.
RAG
AThis model is a direct match for rag. It sits in the middle of the current model mix. It fits natively with comfortable headroom. Known channels: huggingface, ollama.
Just out of reach
High-quality models that need a bit more memory
Image & Video Generation
21 of 52 models can generate images or video on your Radeon RX 7700S 8GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | ~2.2s | S |
| Stable Diffusion 1.5Image | 512×768 | ~4.4s | S |
| Realistic Vision v5.1Image | 512×768 | ~4.4s | S |
| DreamShaper 8Image | 512×768 | ~4.4s | S |
| LCM DreamShaper v7Image | 512×768 | ~1.3s | S |
| PixArt-SigmaImage | 256×256 | ~17.6s | S |
| FramePack I2VVideo | 256×256 | ~32.3s/frame | A |
| SDXL TurboImage | 256×256 | ~5.8s | A |
| SDXL LightningImage | 256×256 | ~17.5s | B |
| Stable Diffusion XL 1.0Image | 256×256 | ~46.7s | B |
| Playground v2.5Image | 256×256 | ~26.4s | B |
| RealVisXL v5.0Image | 256×256 | ~52.6s | B |
| DreamShaper XLImage | 256×256 | ~52.6s | B |
| Juggernaut XL v9Image | 256×256 | ~52.6s | B |
| Animagine XL 3.1Image | 256×256 | ~52.6s | B |
| Pony Diffusion V6 XLImage | 256×256 | ~52.6s | B |
| Animagine XL 4.0Image | 256×256 | ~52.6s | B |
| Illustrious XLImage | 256×256 | ~52.6s | B |
| Wan Video 2.1 1.3BVideo | 256×256 | ~12.9s/frame | D |
| Stable Diffusion 3.5 MediumImage | 256×256 | ~30.8s | D |
| Flux.2 Klein 4BImage | 256×256 | ~5.3s | D |
| LTX Video 2BVideo | 256×256 | ~15.3s/frame | F |
| KolorsImage | 256×256 | ~35.2s | F |
| Stable CascadeImage | 256×256 | ~44s | F |
| AuraFlow v0.3Image | 256×256 | ~1m 19s | F |
| Stable Diffusion 3.5 LargeImage | 256×256 | ~1m 37s | F |
| Stable Diffusion 3.5 Large TurboImage | 256×256 | ~17.6s | F |
| CogVideoX 2BVideo | 256×256 | ~15.3s/frame | F |
| HunyuanVideoVideo | 256×256 | ~32.3s/frame | F |
| ChromaImage | 256×256 | ~17.6s | F |
| Z-Image TurboImage | 256×256 | ~18.2s | F |
| Flux.1 DevImage | 256×256 | ~1m 19s | F |
| Flux.1 SchnellImage | 256×256 | ~15.4s | F |
| LTX Video 13BVideo | 256×256 | ~32.3s/frame | F |
| Flux.1 Kontext DevImage | 256×256 | ~1m 28s | F |
| AnimateDiff v1.5.3Video | 512×768 | ~8s/frame | F |
| Cosmos Diffusion 7BVideo | 256×256 | ~25.2s/frame | F |
| CogVideoX 5BVideo | 256×256 | ~22.1s/frame | F |
| Wan2.2 TI2V 5BVideo | 256×256 | ~22.1s/frame | F |
| Flux.2 Klein 9BImage | 256×256 | ~8.8s | F |
| Flux.1 Fill DevImage | 256×256 | ~1m 15s | F |
| Mochi 1 PreviewVideo | 256×256 | ~29.1s/frame | F |
| HunyuanVideo 1.5Video | 256×256 | ~27s/frame | F |
| Helios 14BVideo | 256×256 | ~33.3s/frame | F |
| SkyReels V2 14BVideo | 256×256 | ~33.3s/frame | F |
| Wan Video 2.1 14BVideo | 256×256 | ~33.3s/frame | F |
| Wan Video 2.2 14BVideo | 256×256 | ~33.3s/frame | F |
| Qwen ImageImage | 256×256 | ~29.6s | F |
| Qwen Image EditImage | 256×256 | ~29.6s | F |
| Flux.2 DevImage | 256×256 | ~13m 53s | F |
| MAGI-1Video | 256×256 | ~41.3s/frame | F |
| HunyuanImage 3.0Image | 256×256 | ~52.2s | F |
Image models estimated at 1024×1024 (28 steps, FP16). Video models estimated at 768×512 (25 frames, 30 steps, FP16). Actual performance varies with runtime and system load.
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 33 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 83%.
~$699 MSRP
Unlocks 37 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 32%.
~$449 MSRP
Unlocks 74 additional models that do not fit on the current setup.
~$329 MSRP
Unlocks 155 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 355%.
~$8,000 MSRP
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