
FØCAL Computer Vision Benchmarks
OpenCV Image and Video Processing Benchmarks
FØCAL Computer Vision Benchmarks launched on February 7, 2019 with 8 votes, #1,040 of 3,290 launches that month and more than 50% of that year's launches.
What it does
FØCAL’s experience building and testing vision pipelines has led to an extensive database of hardware models and software libraries. This data is the key to simulating complex applications and comparing performance across multiple devices, all without writing a line of code. Get free access to the benchmark database of common OpenCV functions.
Does a similar job
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I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
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