Gigabyte AORUS MASTER 16 AM6H with RTX 5070 Ti: which AI models can it run?
Estimated from the specifications below. Choose the memory size you have or plan to buy, then read the table for that size.
Specifications
- Brand
- Gigabyte
- Chip
- Intel Core Ultra 9 275HX
- Processor
- Intel Core Ultra 9 275HX (24 cores)
- Graphics
- NVIDIA GeForce RTX 5070 Ti Laptop GPU
- Memory type
- DDR5-5600 SO-DIMM (2 sockets)
- Memory options
- 64 GB
- Graphics memory
- 12 GB
- Memory bandwidth
- 672 GB/s
Sources: https://www.gigabyte.com/Laptop/AORUS-MASTER-16-AM6H/sp, https://www.nvidia.com/en-us/geforce/laptops/50-series/
Gigabyte lists "up to 64GB DDR5 5600MHz" in two SO-DIMM sockets; smaller sizes are not itemised. The page lists RTX 5090, 5080 and 5070 Ti across its model codes. GPU bandwidth from NVIDIA's RTX 50 laptop page.
With 64 GB of memory
About 12 GB of it can hold a model.
| Model | Fit | Needs (GB) | Writing speed (tokens per second) | Speed | Quality | Basis |
|---|---|---|---|---|---|---|
| Llama 3.2 3B llama3.2:3b |
Fits | 5 | 118 to 218 | Fast | not measured yet | Estimated |
| Qwen3 4B qwen3:4b · thinks first |
Fits | 6 | 94 to 175 | Fast | not measured yet | Estimated |
| Gemma 3 4B gemma3:4b |
Fits | 6.7 | 71 to 132 | Fast | not measured yet | Estimated |
| Mistral 7B v0.3 mistral:7b |
Fits | 7.8 | 53 to 99 | Fast | not measured yet | Estimated |
| Llama 3.1 8B llama3.1:8b |
Fits | 8.3 | 48 to 89 | Fast | not measured yet | Estimated |
| Qwen3 8B qwen3:8b · thinks first |
Fits | 8.9 | 45 to 84 | Fast | not measured yet | Estimated |
| Gemma 3 12B gemma3:12b Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 15.9 | 4.4 to 8.1 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| DeepSeek-R1 Distill Qwen 14B deepseek-r1:14b · thinks first Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 13.7 | 3.9 to 7.3 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| Phi-4 14B phi4:14b Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 13.9 | 3.9 to 7.2 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| Qwen3 14B qwen3:14b · thinks first Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 13.4 | 3.8 to 7 | Unclear could be Slow or Moderate | not measured yet | Estimated |
| gpt-oss 20B gpt-oss:20b · thinks first Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 16.5 | 8.8 to 16 | Unclear could be Moderate or Fast | not measured yet | Estimated |
| Gemma 3 27B gemma3:27b Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 27.2 | 2.1 to 3.9 | Slow | not measured yet | Estimated |
| Qwen3 30B (A3B) qwen3:30b · thinks first Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 22.6 | 10 to 19 | Fast | 9.3/10 | Estimated |
| Qwen3 32B qwen3:32b · thinks first Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 26.3 | 1.8 to 3.3 | Slow | not measured yet | Estimated |
| Llama 3.1 70B llama3.1:70b Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 51.5 | 0.8 to 1.5 | Slow | not measured yet | Estimated |
| gpt-oss 120B gpt-oss:120b · thinks first Part of the model runs from system memory, which is much slower. |
Partial offload (slow) | 70.5 | 7.5 to 14 | Unclear could be Moderate or Fast | not measured yet | Estimated |
Models marked "thinks first" can write out their reasoning before they answer, so a job takes longer than the speed alone suggests.
Speed is the speed of writing an answer, shown as a range. Reading speed is not estimated. How the estimates work · How close they are · Back to the finder