Compare
Compare local AI hardware with workload-aware output.
Operating mode: Balanced. Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
RTX 3080 10GB wins for coding in balanced mode
Based on model fit, speed, and quality across top recommendations.
Intel Arc B570 10GB
AGemma 4 E4B
llama.cppQ4_K_MRuns well
8.1 GB / 10.0 GB
34.3 tok/s40K ctx
ACodeGeeX 4 9B
llama.cppQ4_K_MRuns well
8.0 GB / 10.0 GB
40.9 tok/s68K ctx
SQwen 3.5 4B
llama.cppQ4_K_MRuns well
6.5 GB / 10.0 GB
56.0 tok/s41K ctx
RTX 3080 10GB
WinnerAGemma 4 E4B
llama.cppQ4_K_MRuns well
8.1 GB / 10.0 GB
81.0 tok/s40K ctx
ACodeGeeX 4 9B
llama.cppQ4_K_MRuns well
8.0 GB / 10.0 GB
96.7 tok/s68K ctx
SQwen 3.5 9B
llama.cppQ4_K_MRuns with offload
9.6 GB / 10.0 GB
91.2 tok/s19K ctx
Quick comparison
| Metric | Intel Arc B570 10GB | RTX 3080 10GB |
|---|---|---|
| Models that fit | 3 | 3 |
| Avg decode tok/s | 43.7 | 89.6 |
| Best grade score | 94 | 95 |