MLX Benchmarks vs Crossbench3D

MLX Benchmark helps you understand how large language models perform on your hardware. Select a model and quantization, set context length and iterations, and run repeatable benchmarks that capture load time, tokenization time, time to first token, throughput, memory usage, and jitter. View detailed metrics grids, visualize comparisons in charts, and manage downloaded model repos directly in the app. Built for developers and AI enthusiasts who want clear, on-device performance insights without leaving their device. Features: - Model selection with quantization details - Configurable prompt, context length, and iterations - Metrics for load, tokenization, first-token latency, throughput, jitter, and memory - Charts to compare runs and devices - Downloaded model management (list, delete, refresh) - Optional Supabase upload for aggregating benchmark results

Push your GPU to its absolute limit. Crossbench3D is a cross-platform 3D benchmarking suite built for enthusiasts, system builders, overclockers, and developers who demand precise, reproducible performance data. Multiple benchmark scenes test everything from raw fill rate and draw call throughput to compute shader efficiency and ray-tracing pipeline stress. After each run, upload your results to the Crossbench3D Global Database with a single click. Every submission is paired with a full hardware profile, GPU model, driver version, CPU, system RAM, and recorded thermals, so comparisons are apples-to-apples. Browse the public leaderboard by hardware tier, compare your score against the same card at stock versus overclocked, or track how a driver update shifted your percentile ranking. Side-by-side comparison tools let you overlay frame-time graphs from two runs, highlight regressions. Whether you're validating a new build, reporting a driver bug, or settling a benchmark debate, Crossbench3D gives you the data and the receipts.