Lenovo Legion Pro 7 Gen 10 (16AFR10H, AMD): 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
- Lenovo
- Chip
- AMD Ryzen 9 9955HX3D or 9955HX
- Processor
- AMD Ryzen 9 9955HX3D or 9955HX (16 cores)
- Graphics
- NVIDIA GeForce RTX 5080 Laptop GPU
- Memory type
- DDR5-5600 SODIMM
- Memory options
- 64 GB
- Graphics memory
- 16 GB
- Memory bandwidth
- 896 GB/s
Sources: https://psref.lenovo.com/syspool/Sys/PDF/Legion/Legion_Pro_7_16AFR10H/Legion_Pro_7_16AFR10H_Spec.pdf, https://www.nvidia.com/en-us/geforce/laptops/50-series/
PSREF states up to 64GB; smaller options are not itemised. GPU bandwidth from NVIDIA's RTX 50 laptop page.
With 64 GB of memory
About 16 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 | 157 to 291 | Fast | not measured yet | Estimated |
| Qwen3 4B qwen3:4b · thinks first |
Fits | 6 | 125 to 233 | Fast | not measured yet | Estimated |
| Gemma 3 4B gemma3:4b |
Fits | 6.7 | 95 to 176 | Fast | not measured yet | Estimated |
| Mistral 7B v0.3 mistral:7b |
Fits | 7.8 | 71 to 132 | Fast | not measured yet | Estimated |
| Llama 3.1 8B llama3.1:8b |
Fits | 8.3 | 64 to 119 | Fast | not measured yet | Estimated |
| Qwen3 8B qwen3:8b · thinks first |
Fits | 8.9 | 60 to 112 | Fast | not measured yet | Estimated |
| Gemma 3 12B gemma3:12b |
Tight | 15.9 | 39 to 72 | Fast | not measured yet | Estimated |
| DeepSeek-R1 Distill Qwen 14B deepseek-r1:14b · thinks first |
Fits | 13.7 | 35 to 65 | Fast | not measured yet | Estimated |
| Phi-4 14B phi4:14b |
Fits | 13.9 | 34 to 64 | Fast | not measured yet | Estimated |
| Qwen3 14B qwen3:14b · thinks first |
Fits | 13.4 | 34 to 63 | Fast | 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 | 12 to 22 | 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 | 2.8 to 5.1 | Unclear could be Slow or Moderate | 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 | 14 to 25 | 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 | 2.4 to 4.4 | 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 | 1.1 to 2 | 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 | 10 to 18 | 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