{"dataset":{"name":"Speech recognition processing speed","title":"Speech Recognition Speed: Real-Time Factor Data","question":"How much faster than real time do speech recognition models transcribe audio, and on which hardware?","url":"https://yapapp.cc/data/asr-speed","measure":{"label":"Processing speed","unit":"times faster than real time","short":"RTFx","decimals":0},"dimensions":[{"key":"system","label":"System"},{"key":"kind","label":"Kind","values":["Open model","Cloud service","Built-in dictation","Research system"]},{"key":"hardware","label":"Hardware"},{"key":"benchmark","label":"Test set"},{"key":"year","label":"Year"}],"include":"Processing speeds of speech recognition systems expressed as an inverse real-time factor (seconds of audio per second of compute) or convertible to one (a real-time factor of 0.05 is 20 times real time), with the hardware stated.","exclude":"Latency to the first word (a different measure) and speeds without the hardware.","method":"Rows come from the facts already cited across the library, from public leaderboards, and from model papers. A real-time factor is converted to its inverse and the conversion noted on the row.","limitations":"Speed depends on hardware, batch size and audio length. Compare rows measured on the same hardware.","sources":0,"updated":"2026-10-19","license":"https://creativecommons.org/licenses/by/4.0/","credit":"Yap (2026). Speech recognition processing speed [Data set]. https://yapapp.cc/data/asr-speed"},"rows":[{"row":"Parakeet TDT v3, Spanish (M2 Pro)","value":21.8,"low":null,"high":null,"as_written":"22","unit":"times faster than real time","system":"Parakeet TDT 0.6B v3","kind":"Open model","hardware":"Apple M2 Pro","benchmark":"FLEURS","year":2026,"conversion":null,"claim":"In our October 2026 benchmark on a Mac with an M2 Pro, Parakeet TDT 0.6B v3 transcribed 100 Spanish FLEURS recordings about 22 times faster than real time.","quote":null,"where_in_source":null,"fact_url":"https://yapapp.cc/facts/m-fleurs-2026-10-parakeet-es-rtfx","source_title":null,"source_publisher":null,"source_year":null,"source_url":null,"source_doi":null,"checked":"2026-10-19"},{"row":"Parakeet TDT v3, Portuguese (M2 Pro)","value":21.7,"low":null,"high":null,"as_written":"22","unit":"times faster than real time","system":"Parakeet TDT 0.6B v3","kind":"Open model","hardware":"Apple M2 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FLEURS recordings about 20 times faster than real time.","quote":null,"where_in_source":null,"fact_url":"https://yapapp.cc/facts/m-fleurs-2026-10-parakeet-sl-rtfx","source_title":null,"source_publisher":null,"source_year":null,"source_url":null,"source_doi":null,"checked":"2026-10-19"},{"row":"Parakeet TDT v3, English (M2 Pro)","value":19.3,"low":null,"high":null,"as_written":"19","unit":"times faster than real time","system":"Parakeet TDT 0.6B v3","kind":"Open model","hardware":"Apple M2 Pro","benchmark":"FLEURS","year":2026,"conversion":null,"claim":"In our October 2026 benchmark on a Mac with an M2 Pro, Parakeet TDT 0.6B v3 transcribed 100 English FLEURS recordings about 19 times faster than real time.","quote":null,"where_in_source":null,"fact_url":"https://yapapp.cc/facts/m-fleurs-2026-10-parakeet-en-rtfx","source_title":null,"source_publisher":null,"source_year":null,"source_url":null,"source_doi":null,"checked":"2026-10-19"},{"row":"Parakeet TDT v3, French (M2 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