Datasets:

staffbox
/

staffbox-bench

@@ -1,21 +1,21 @@
 ---
 license: mit
 language: [en]
-pretty_name: Staffbox bench (local inference speed)
 tags: [benchmark, ollama, apple-silicon, mac-mini, local-llm, staffbox]
 size_categories: [n<1K]
 ---
 # Staffbox bench
-> **[Staffbox.ai](https://staffbox.ai)**: an AI worker on a Mac mini in your building that drafts quotes from your own price list; a person checks each one. Measurements on Staffbox's own Mac mini only, no customer data; no customer has run Staffbox yet. hadi@staffbox.ai
 Dated measurements of local LLM inference speed on the hardware Staffbox runs on, taken with `scripts/bench.py`. Rows are added, never edited.
-Status, 6 Oct 2026: speed measured on two machines, a Mac mini M4 16 GB and a Dell Precision 5820 with an RTX 3090 24 GB. Ollama serves one request at a time, so concurrent requests queue. Rows are in `measurements.csv`; per-answer times for the quote desk (average 1.1 to 2.9 s on the 2 Oct runs) are in the scorecards.
 Accuracy lives in [staffbox/staffbox-scorecards](https://huggingface.co/datasets/staffbox/staffbox-scorecards).
-To try Staffbox on your own quotes: free 3-request test, or a free score on 30 of your past quotes. Founding sites: free 30-day pilot, then $595 a month (first 100 sites; draft pricing). hadi@staffbox.ai · +1 404 493 6248 · [staffbox.ai](https://staffbox.ai)
 To contribute a row, run `bench.py`, then open an issue on [Staffbox-ai/staffbox](https://github.com/Staffbox-ai/staffbox) with the machine, model and output. Built from `docs/measurements.md` at commit `9a182a9`.

 ---
 license: mit
 language: [en]
+pretty_name: "Staffbox Bench: Ollama inference speed on Mac mini M4"
 tags: [benchmark, ollama, apple-silicon, mac-mini, local-llm, staffbox]
 size_categories: [n<1K]
 ---
 # Staffbox bench
+Ollama inference speed for a local LLM (qwen3:8b) on a 16 GB Mac mini M4, in dated rows.
+> By **[Staffbox.ai](https://staffbox.ai/?utm_source=huggingface&utm_medium=bench)**, an AI worker on a Mac mini that drafts quotes from your own price list. Measurements on Staffbox's own Mac mini only, no customer data; no customer has run Staffbox yet. [hadi@staffbox.ai](mailto:hadi@staffbox.ai?subject=Score%20my%20quotes&body=Company%3A%0AWhat%20we%20quote%3A%0AQuotes%20per%20week%20%28about%29%3A%0A%0AAttached%3A%20our%20price%20list%20and%2030%20past%20quote%20requests)
 Dated measurements of local LLM inference speed on the hardware Staffbox runs on, taken with `scripts/bench.py`. Rows are added, never edited.
+Status, 2 Oct 2026: speed measured on one machine, a Mac mini M4 16 GB; other hardware not yet measured. Ollama serves one request at a time, so concurrent requests queue. Rows are in `measurements.csv`; per-answer times for the quote desk (average 1.1 to 2.9 s on the 2 Oct runs) are in the scorecards.
 Accuracy lives in [staffbox/staffbox-scorecards](https://huggingface.co/datasets/staffbox/staffbox-scorecards).
 To contribute a row, run `bench.py`, then open an issue on [Staffbox-ai/staffbox](https://github.com/Staffbox-ai/staffbox) with the machine, model and output. Built from `docs/measurements.md` at commit `9a182a9`.

measurements.csv CHANGED Viewed

@@ -6,18 +6,3 @@ date,machine,model,streams,per_stream_tok_s,wall_for_220_tokens,notes
 2026-10-01,"Mac mini M4, 16 GB, freshly erased, Staffbox installer",qwen3:8b,2,20.3,21.8 s,requests queued (one at a time)
 2026-10-01,"Mac mini M4, 16 GB, freshly erased, Staffbox installer",qwen3:8b,4,20.3,43.5 s,requests queued
 2026-09-23,"Mac mini M4, 16 GB","qwen3:8b at 64K context, Hermes Agent one-shot task",1,n/a,5 to 10 min,"read a vault file, answer, write a log line; browser also running"
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3:8b via Ollama, default parallelism",1,62.2,37 s,includes model load
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB",qwen3:8b,2,114.4,4 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB",qwen3:8b,4,113.8,8 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","gpt-oss:20b, 64K context",1,111.5,74 s,includes model load
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","gpt-oss:20b, 64K context",2,138.8,3 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","gpt-oss:20b, 64K context",4,139.8,7 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3:30b-a3b, 64K context",1,154.6,79 s,includes model load
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3:30b-a3b, 64K context",2,172.2,3 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3:30b-a3b, 64K context",4,171.5,5 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3.8:27b, 64K context",1,30.5,83 s,includes model load
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3.8:27b, 64K context",2,46.0,10 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","qwen3.8:27b, 64K context",4,44.7,21 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","gpt-oss:120b, 8K context",1,14.5,19 s,"model already loaded; split 36% GPU / 64% CPU; cold load from HDD took 12 min"
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","gpt-oss:120b, 8K context",2,14.5,31 s,requests queued
-2026-10-06,"Dell Precision 5820, Xeon W-2133, 80 GB DDR4, RTX 3090 24 GB","gpt-oss:120b, 8K context",4,14.5,62 s,requests queued

 2026-10-01,"Mac mini M4, 16 GB, freshly erased, Staffbox installer",qwen3:8b,2,20.3,21.8 s,requests queued (one at a time)
 2026-10-01,"Mac mini M4, 16 GB, freshly erased, Staffbox installer",qwen3:8b,4,20.3,43.5 s,requests queued
 2026-09-23,"Mac mini M4, 16 GB","qwen3:8b at 64K context, Hermes Agent one-shot task",1,n/a,5 to 10 min,"read a vault file, answer, write a log line; browser also running"