Jasmin0407/benchmark-pipeline-public
A reproducible benchmarking pipeline for machine learning models, focused on analyzing inference efficiency. It captures CPU utilization, MACs, memory consumption (RSS), model size, and runtime-specific resource demands, combined with hardware-aware profiling for consistent cross-system evaluation.
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Language
Python
License
MIT
Last pushed
Apr 07, 2026
Commits (30d)
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