Samsung is challenging the status quo in enterprise AI evaluation with the launch of TRUEBench, a new benchmark specifically designed to measure the real-world productivity of AI models in corporate environments. Unlike traditional benchmarks that often prioritize academic knowledge, TRUEBench focuses on practical applications relevant to businesses.
Leveraging Samsung’s own internal AI usage, TRUEBench assesses Large Language Models (LLMs) across a range of business-critical functions, including content creation, data analysis, document summarization, and translation. The benchmark encompasses 10 categories and 46 sub-categories, built upon 2,485 diverse test sets covering 12 languages to reflect the multilingual nature of modern workplaces.
Developed by Samsung Research, TRUEBench employs a collaborative human-AI approach. Human experts initially define the productivity scoring criteria, which are then rigorously reviewed by AI to identify and correct errors or inconsistencies. This iterative process ensures a refined, automated evaluation system that minimizes subjective bias.
To promote transparency and collaboration, Samsung has made TRUEBench’s data samples and leaderboards publicly accessible on Hugging Face. By providing a platform for direct comparison of AI model productivity, Samsung hopes to drive the industry towards a greater emphasis on tangible business value and empower organizations to make more informed decisions regarding enterprise AI adoption.