Update README.md

README.md

@@ -41,18 +41,18 @@ ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
 ```
 
 ### Benchmark
-We measure the inference speed with four different Japanese speech audio on MacBook Pro with the following spec:
+We measure the inference speed of different kotoba-whisper-v1.0 implementations with four different Japanese speech audio on MacBook Pro with the following spec:
 - Apple M2 Pro
 - 32GB
 - 14-inch, 2023
 - OS Sonoma Version 14.4.1 (23E224)
 
-| audio file | audio duration (min)| inference time (sec) |
-|--|---------------------|-------------|
-|audio 1 | 50.3 | 581       |
-|audio 2 | 5.6  | 41       |
-|audio 3 | 4.9  | 30       |
-|audio 4 | 5.6  | 35       |
+| audio file | audio duration (min)| [whisper.cpp](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-ggml) (sec) | [faster-whisper](https://huggingface.co/kotoba-tech/kotoba-whisper-v1.0-faster) (sec)|
+|--|---------------------|-------------|-|
+|audio 1 | 50.3 | 581      |2601       |
+|audio 2 | 5.6  | 41       |73       |
+|audio 3 | 4.9  | 30       | 141       |
+|audio 4 | 5.6  | 35       |126       |
 
 
 ### Quantized Model