What to check before reading an inference benchmark
Before interpreting a performance number, check the model version, hardware, request workload, and timing boundaries. This example presents those conditions in a table and callout. It shows how to document benchmarks and provides no scores or performance conclusions.
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Record conditions before reading results
This example checklist contains no measured data and cannot support performance claims.
| Condition | Details to record |
|---|---|
| Model | Identifier and pinned version |
| Environment | Accelerator, nodes, drivers, and runtime |
| Workload | Input/output length, concurrency, and request count |
| Method | Warmup, timing boundaries, repetitions, and failure handling |
Distinguish latency metrics
TTFT, per-token latency, and total request duration answer different questions. Official articles should provide metric definitions and sources together.
warning
This table illustrates formatting; it contains no performance figures to compare.
Make results traceable
Retain original records and state the test scope beside conclusions. Explicitly identify missing data instead of filling it with zero.
