llamaperf

Phi-3

1 report

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Reported performance for Phi-3

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NVIDIA hardware
generation:
97.0 tokens/s
quant:
q4

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

User reports 97 t/s generation. Source evidence (verbatim): Source: https://dev.to/fr4ncis/the-fastest-llama-uncovering-the-speed-of-llms-5ap8 # Original RTX3070 Phi3 mini4k instruct Q4 LMStudio measurement Francesco Mattia original experiments, September1,2024, edited September10. Selected single-prompt result: NVIDIA RTX3070 8GB, LMStudio, Phi3 mini4k instruct q4, approximately 97 tokens/s generation and 0.01s TTFT. Prompt: Who is the president of the US? Temperature0. Exact quantization subtype, tested repository/revision, runtime version, token counts, context depth, resident memory, speculation and concurrency unknown. Separate local PC CPU-only setup lists Ryzen5500 six cores and64GB RAM; whether those exact CPU/RAM specs apply to the selected GPU run is not established. The article also mixes Ollama benchmark-script and LMStudio tests; do not combine the earlier Phi3 input/output table with this specific q4 result. HF artifact link unavailable; do not guess. Original source: https://dev.to/fr4ncis/the-fastest-llama-uncovering-the-speed-of-llms-5ap8 . Selected structured generation measurement: approximately 97 tokens/s. Prompt processing speed unknown; do not derive it from TTFT. CPU/RAM belong to a separate CPU-only setup and must stay unknown for this selected GPU run.

Oct 14, 2026

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
Phi-3 mini 4k instruct
NVIDIA RTX 3070
q4
LM Studio
Not reported97.0 tokens/s