Commercial, Energy Efficiency, GHG Emissions  -  February 10, 2025

Salesforce Joins Partners to Launch AI Energy Score

Salesforce entered a partnership to announce the release of the AI Energy Score, a benchmarking tool that enables AI developers and users to evaluate, identify, and compare the energy consumption of AI models.

The software company will collaborate with Hugging Face, Cohere, and Carnegie Mellon University.

Salesforce also announced it will be the first AI model developer to disclose the energy efficiency data of its proprietary models under the new framework.

The AI Energy Score seeks to address the lack of transparency about the environmental impact of AI models. Similar to how ENERGY STAR transformed energy efficiency standards for appliances and electronics, this initiative establishes a clear, trusted benchmark for AI model sustainability. 

By enhancing transparency, the score can drive market preference for efficient models and incentivize sustainable AI development. Recognized by the French Government and the Paris Peace Forum for its transformative potential, the AI Energy Score features:

• Standardized Energy Ratings: A standardized framework for measuring and comparing AI model energy efficiency.
• Public Leaderboard: A comprehensive leaderboard that features scores for 10 common AI tasks — such as text generation, image generation, and summarization — performed by 166 models, including Salesforce’s SFR-Embedding, xLAM, and SF-TextBase.
• Benchmarking Portal: A platform where AI developers can submit their open or proprietary AI models to be evaluated and added to the leaderboard. Open models can be automatically tested, while closed models can be evaluated through a secured testing sandbox.
• Recognizable Energy Use Label: A new 1- to 5-star label that rates AI model energy use, with five stars indicating the highest efficiency. This helps developers and users easily identify and choose more sustainable models. Once rated, AI developers can generate standardized labels to share their models’ energy score, with built-in guidance on the proper label display for visibility and impact.

“Reducing AI energy consumption lowers operational costs, optimizes infrastructure, and enhances long-term sustainability and profitability. We are proud to work with industry leaders to build a more transparent AI ecosystem,” said Suzanne DiBianca, EVP and Chief Impact Officer, Salesforce, in a statement.

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