Benchmark run

Ekko v1 Tiny Q5_0 benchmark

Word accuracy and speed of Ekko v1 Tiny Q5_0 in Codictate on an Apple M4 Max, 927 recordings per language: Danish.

Oct 30, 2026

Run note: ekko-v1-tiny q5_0 on the full FLEURS da_dk corpus, Raw Transcript before Punctuation Restoration, slicing with pauseBelowSpeechDb (#108)

Models
1
Samples per dataset
927
Warmup runs
3
Hardware
Apple M4 Max / 36 GB / macOS 26.6.2

Full results

Accuracy is the share of words transcribed correctly per language condition, so higher is better; speed is milliseconds per second of audio, so lower is better. The best value in each column is emphasised, and a cell reading a dash says on hover why there is no figure in it.

Accuracy (%) per language, and speed in ms per second of audio, so lower is better. A cell reading a dash was never measured, and hovering any cell says what is behind it.

Ekko v1 Tiny Q5_0927152 MB299 MB17 ms90.1%Every word from every language counted together, not an average of per-language scores.Not scored on any benchmark language.90.1%Every word from every language counted together, not an average of per-language scores.90.1%

At a glance

Ratings computed from benchmark data, scaled 1 to 10, and written with their scale in every cell. Accuracy is based on Word Error Rate (WER) and does not include punctuation yet.

Ratings run 1 to 10, higher is better. A cell reading a dash was never measured, and hovering any cell says what is behind it.

Ekko v1 Tiny Q5_0Danish onlyNo10/109/10Every word from every language counted together, not an average of per-language scores.

Charts

The plots generated alongside this run. Select a chart to open it full size.

Bar chart comparing model accuracy across English, Spanish, Danish, and Hungarian benchmark conditions.
Accuracy by model and test condition
Bar chart comparing transcription speed across models and test conditions.
Speed comparison across conditions
Bar chart showing average English, multilingual, and overall accuracy per model.
Average accuracy by language group