Add whisper.cpp in benchmark table
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@@ -6,7 +6,11 @@ This implementation is up to 4 times faster than [openai/whisper](https://github
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## Benchmark
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For reference, here's the time and memory usage that are required to transcribe **13 minutes** of audio.
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For reference, here's the time and memory usage that are required to transcribe **13 minutes** of audio using different implementations:
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* [openai/whisper](https://github.com/openai/whisper)@[7858aa9](https://github.com/openai/whisper/commit/7858aa9c08d98f75575035ecd6481f462d66ca27)
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* [whisper.cpp](https://github.com/ggerganov/whisper.cpp)@[3b010f9](https://github.com/ggerganov/whisper.cpp/commit/3b010f9bed9a6068609e9faf52383aea792b0362)
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* faster-whisper@[cbbe633](https://github.com/guillaumekln/faster-whisper/commit/cbbe633082fb8159749bfa5fa8289bc65f1dfb67)
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### Medium model on GPU
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@@ -22,6 +26,8 @@ For reference, here's the time and memory usage that are required to transcribe
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| Implementation | Precision | Beam size | Time | Max. memory |
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| --- | --- | --- | --- | --- |
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| openai/whisper | fp32 | 5 | 10m39s | 2850MB |
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| whisper.cpp | fp32 | 5 | 17m42s | 1581MB |
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| whisper.cpp | fp16 | 5 | 12m39s | 873MB |
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| faster-whisper | fp32 | 5 | 3m24s | 2182MB |
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| faster-whisper | int8 | 5 | 2m37s | 1466MB |
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