StudioBuilt a Local GPU Benchmark Server to Test Real Performance of 4B to 35B Models
Original title: I built a local GPU benchmark server for 4B to 35B models because I was tired of synthetic cloud leaderboards and tiny sample tests
The author set up a local GPU benchmark server using two RTX 5060 Ti cards with 32 GB of VRAM running vLLM in Docker, and tested 12 local LLM models ranging from 4B to 35B. Tests cover 7 benchmarks including IFEval and IFBench, tracking wall clock duration, tokens per second, and calculating a time efficiency score. All results are published on the personal website at https://llmbenchmarks.io/local-gpu-benchmarks/.
This article demonstrates how to build a local server and run multiple benchmarks, providing practical performance references for local LLM users.
The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.