Explore GenAI model efficiency on ML.ENERGY leaderboard
Benchmark AI models by comparison
Benchmark LLMs in accuracy and translation across languages
Browse and filter machine learning models by category and modality
View and submit LLM benchmark evaluations
Evaluate RAG systems with visual analytics
Measure BERT model performance using WASM and WebGPU
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Merge machine learning models using a YAML configuration file
Open Persian LLM Leaderboard
Analyze model errors with interactive pages
Calculate memory usage for LLM models
Display leaderboard for earthquake intent classification models
The ML.ENERGY Leaderboard is a platform designed to benchmark and compare the energy consumption and performance of various AI models. It provides a transparent and standardized way to evaluate the efficiency of different models, enabling users to make informed decisions about their implementations. The leaderboard focuses specifically on GenAI energy efficiency, helping developers and organizations identify models that balance performance with energy usage.
What is the ML.ENERGY Leaderboard?
The ML.ENERGY Leaderboard is a tool for benchmarking AI models based on their energy consumption and performance, helping users find efficient solutions.
How are models evaluated on the leaderboard?
Models are evaluated based on their energy consumption during inference and training, as well as their performance metrics such as accuracy and speed.
How often is the leaderboard updated?
The leaderboard is continuously updated with new models and data to reflect the latest advancements in AI research and development.