diff options
| author | Konstantin <const@const.me> | 2023-01-17 19:19:05 +0100 |
|---|---|---|
| committer | Konstantin <const@const.me> | 2023-01-17 19:19:05 +0100 |
| commit | e9d4322fbfeaf894e351deee781f354031c0f38a (patch) | |
| tree | b6fe7cb45c7f014fa97fe8ae67f7843868a19bd4 /SampleClips/Readme.txt | |
| parent | aae8860d0e7b2bf68a1c20c6f30999fff531f03c (diff) | |
Added GeForce 1650 results to performance measures
Diffstat (limited to 'SampleClips/Readme.txt')
| -rw-r--r-- | SampleClips/Readme.txt | 18 |
1 files changed, 12 insertions, 6 deletions
diff --git a/SampleClips/Readme.txt b/SampleClips/Readme.txt index 69432f4..0945728 100644 --- a/SampleClips/Readme.txt +++ b/SampleClips/Readme.txt @@ -3,15 +3,21 @@ jfk.wav is from whisper.cpp repository. columbia.wma is from Wikipedia: https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg -I had to re-encoded the audio from Ogg Vorbis into Windows Media Audio, because Media Foundation is unable to decode Vorbis. +I re-encoded the audio from Ogg Vorbis into Windows Media Audio, because Media Foundation is unable to decode Vorbis. -The rest of the text files in this folder are the outputs of the in-app performance profiler, when the app was transcribing these two audio clips on two different computers. +The rest of the text files in this folder are the outputs of the in-app performance profiler, when the app was transcribing these two audio clips on three different computers. -The files names containing `1080ti` are from my desktop, which has nVidia GeForce 1080Ti GPU. +The “1080ti” files are from my desktop, which has nVidia GeForce 1080Ti GPU. -The files names containing `vega7` are from my laptop, the GPU is integrated into AMD Ryzen 5 5600U processor. +The “vega7” files are from my laptop, the GPU is integrated into AMD Ryzen 5 5600U processor. The laptop model is HP ProBook 445 G8. While running the tests, the laptop was on battery power. -The files names with `medium` in the middle were made with `ggml-medium.bin` Whisper model. +The “1650” files are from another desktop with nVidia GeForce 1650. -The files with `large` were made with `ggml-large.bin` model.
\ No newline at end of file +The file names with “medium” in the middle were made with “ggml-medium.bin” Whisper model, with “large” were made with “ggml-large.bin” model. + +In theory, 1080ti delivers 10.6 TFlops FP32 and 484.4 GB/second VRAM bandwidth. + +That variant of 1650 delivers 2.6 TFlops FP32, and 128.1 GB/second VRAM bandwidth. + +The AMD APU in that laptop delivers 1.6 TFlops FP32, and 51.2 GB/second memory bandwidth.
\ No newline at end of file |