Benchmarks
Uneven AI is engineered with a high-performance native core. Below are the actual verified benchmarks obtained from running Uneven in our testing environment. By showing complete execution environments, versions, and system constraints, we aim to be fully transparent about our performance claims.
Hardware & Testing Environment
All benchmarks were executed on a low-spec host machine to verify resource constraints, peak load handling, and execution efficiency under strict resource limitations.
Verified Benchmark Runs
Each card below represents a single benchmark report run, detailing the version used, operation type, resources consumed, and links to raw monitoring outputs.
RAG Context Retrieval & Q&A
Queries the model with the prompt: "How does the scheduler balance tasks across CPU cores?", dynamically loading 8 relevant kernel scheduler files. Optimized in Release mode.
RAG Context Retrieval & Q&A
Queries the model with the prompt: "How does the scheduler balance tasks across CPU cores?", dynamically loading 8 relevant kernel scheduler files. Run in Debug mode.
Subsystem Workspace Indexing
Performs a clean, full index build of the scheduler subsystem source files (hashing and mapping content). Optimized in Release mode.
Large-Scale Workspace Indexing
Builds incremental index metadata for the full Linux Kernel Stable repository. Run in Debug mode.
Comparative Visualizations
Below are comparative visualizations based on our testing data, demonstrating memory usage and token economy.