Story · Ashok Chandrasekar and Jason Kramberger (Google)
Are LLM Performance Benchmarks Reliable? (Ashok Chandrasekar and Jason Kramberger (Google))
talk · Story page
Ask a harness for 200 queries a second and it may deliver 38, then print the results as though it ran 200. The global interpreter lock caps a single-process client, one shared 20% throughput win ran at temperature zero, and Inference Perf logs scheduled against actual send times.
In plain words
- A presentation explains why speed tests can give misleading results about artificial intelligence (AI) services.
- Software sending test questions can fall behind, making a working service appear slow.
- The presenters' testing tool records when questions should be sent and when they actually leave.
- People running AI services can use those records to check whether apparent delays come from the testing software.
Appeared in
- Giving an agent the decoder's confidence never beat a plain deterministic gate
Sep 21, 2026 · in the sections
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