Request for the fairness review

Hello,

I'm Leonid Ganeline. We maintain an open multi-language serializer benchmark:

https://github.com/leo-gan/GLD.SerializerBenchmark

Your library is included in the benchmark (language: swift, harness name: `FlatBuffers`).
Implementation we use:

https://github.com/leo-gan/GLD.SerializerBenchmark/blob/master/swift/Sources/SerializerBenchmarkCore/Serializers/FlatBuffersSer.swift

We would value a short review of whether our measurement is fair and idiomatic:
- Does our call pattern match how you recommend using the library in performance-sensitive code?
- Should we change options, encoder/decoder reuse, types, or buffer handling?
- Is there a better API (or a second entry point worth a separate row in the suite)?

Concrete notes or a small PR against that wrapper would help a lot. We are happy to credit you in the docs.

The repo also includes short Serialization courses (101–401). If something important about your design is easy to misstate, a pointer is welcome—we can update the docs ourselves.

Thank you for maintaining this library.

Best regards,
Leonid Ganeline

Start with swift/Sources/SerializerBenchmarkCore/Serializers/FlatBuffersSer.swift in the linked benchmark and review its FlatBuffers call pattern. Compare the options, reuse, types, and buffer handling with the library's recommended Swift usage; done means concrete fairness guidance or a focused wrapper PR, plus any documentation corrections.

Written by the indexing model from the issue text.