here it is: Benchmark-Yourself app - compete against open source LLMs and get your score - 5 benchmarks available - Add your results to your CV or linkedIn (if you dare)... or just paste them below for community shaming.
Summary
A web app that allows users to benchmark their own performance against open source LLMs on five benchmarks, with the option to add results to a CV or LinkedIn.
Similar Articles
Homebench – Benchmark local LLMs for speed, memory, and quality
Homebench is a zero-config terminal tool that benchmarks locally-run LLMs for speed, memory, and quality, presenting a live leaderboard. It supports Ollama, LM Studio, llama.cpp, vLLM, and OpenAI-compatible servers.
I spent way too much building a benchmark that measures LLM's political affinity, ethical values, and personality traits
Black Bench is a project that builds a benchmark to measure LLMs on political affinity, ethical values, and personality traits, with support sought for the initiative.
Open-source LLM benchmark runs 147 coding tasks every 4 hours, 5-trial median with 95% CI, and uses CUSUM for change-point detection. Curious what people think of the methodology
An open-source LLM benchmark with 147 coding tasks runs every 4 hours, using 5-trial median with 95% confidence intervals and CUSUM for change-point detection, sparking discussion on its methodology.
@ms_aifrontiers: Most LLM benchmark scores are predictable before you ever run them. New from the MS AI Frontiers team: BenchPress. The …
The MS AI Frontiers team introduces BenchPress, a method that uses matrix completion to predict LLM benchmark scores from just five probes, showing the score matrix is effectively rank-2.
Meta-Benchmarks for Financial-Services LLM Evaluation
This paper presents a meta-benchmarking framework that aggregates 452 existing public benchmarks into 41 work activities and 38 banking business domains, enabling more precise LLM evaluation and governance for financial services institutions.