v1.6.0
版本发布时间: 2024-05-15 15:13:56
ggerganov/whisper.cpp最新发布版本:v1.6.2(2024-05-27 15:36:55)
Overview
- Can optionally enable Flash Attention for faster processing on CUDA and Metal devices (#2152)
- Faster ppc64 performance (40aeeeecc4b8700b2a7e50cbcfa5c5412f2626ab) (not tested)
- Fix
mainslowdown bug (#2070)
Shoutout to @JohannesGaessler for contributing efficient FA CUDA kernels
Some performance numbers for this release:
M1 Pro
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| M1 Pro | METAL | tiny | 1 | 0 | 39.21 | 1.74 | 0.61 | 0.04 | 22c96b4 |
| M1 Pro | METAL | base | 1 | 0 | 70.76 | 2.60 | 0.93 | 0.06 | 22c96b4 |
| M1 Pro | METAL | small | 1 | 0 | 217.28 | 6.42 | 2.14 | 0.17 | 22c96b4 |
| M1 Pro | METAL | medium | 1 | 0 | 596.74 | 14.43 | 4.75 | 0.45 | 22c96b4 |
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| M1 Pro | METAL | tiny | 1 | 1 | 30.77 | 1.59 | 0.54 | 0.03 | 22c96b4 |
| M1 Pro | METAL | base | 1 | 1 | 60.42 | 2.29 | 0.81 | 0.05 | 22c96b4 |
| M1 Pro | METAL | small | 1 | 1 | 183.82 | 5.12 | 1.81 | 0.14 | 22c96b4 |
| M1 Pro | METAL | medium | 1 | 1 | 517.92 | 11.60 | 4.01 | 0.38 | 22c96b4 |
M2 Ultra
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| M2 ULTRA | METAL | tiny | 1 | 0 | 12.32 | 1.35 | 0.49 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_0 | 1 | 0 | 11.65 | 1.30 | 0.51 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_1 | 1 | 0 | 12.08 | 1.30 | 0.51 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | base | 1 | 0 | 17.58 | 1.90 | 0.76 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_0 | 1 | 0 | 18.89 | 1.86 | 0.79 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_1 | 1 | 0 | 20.69 | 1.88 | 0.79 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | small | 1 | 0 | 49.32 | 3.85 | 1.71 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_0 | 1 | 0 | 54.91 | 3.81 | 1.82 | 0.06 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_1 | 1 | 0 | 54.92 | 3.81 | 1.79 | 0.06 | 22c96b4 |
| M2 ULTRA | METAL | medium | 1 | 0 | 134.34 | 8.04 | 3.82 | 0.13 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_0 | 1 | 0 | 151.68 | 7.59 | 4.07 | 0.14 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_1 | 1 | 0 | 151.58 | 7.67 | 4.07 | 0.14 | 22c96b4 |
| M2 ULTRA | METAL | medium-dis | 1 | 0 | 120.82 | 1.07 | 0.41 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | large-v2 | 1 | 0 | 235.63 | 12.27 | 5.85 | 0.22 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_0 | 1 | 0 | 273.38 | 11.17 | 6.40 | 0.26 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_1 | 1 | 0 | 272.44 | 11.32 | 6.29 | 0.26 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-dis | 1 | 0 | 212.51 | 1.20 | 0.47 | 0.02 | 22c96b4 |
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| M2 ULTRA | METAL | tiny | 1 | 1 | 9.07 | 1.33 | 0.45 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_0 | 1 | 1 | 9.74 | 1.33 | 0.47 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | tiny-q5_1 | 1 | 1 | 8.93 | 1.31 | 0.46 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | base | 1 | 1 | 15.75 | 1.87 | 0.71 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_0 | 1 | 1 | 17.04 | 1.83 | 0.74 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | base-q5_1 | 1 | 1 | 17.17 | 1.83 | 0.74 | 0.02 | 22c96b4 |
| M2 ULTRA | METAL | small | 1 | 1 | 42.33 | 3.64 | 1.60 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_0 | 1 | 1 | 47.61 | 3.63 | 1.70 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | small-q5_1 | 1 | 1 | 47.70 | 3.66 | 1.68 | 0.05 | 22c96b4 |
| M2 ULTRA | METAL | medium | 1 | 1 | 114.42 | 7.53 | 3.55 | 0.11 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_0 | 1 | 1 | 132.63 | 7.02 | 3.77 | 0.13 | 22c96b4 |
| M2 ULTRA | METAL | medium-q5_1 | 1 | 1 | 132.28 | 7.10 | 3.76 | 0.13 | 22c96b4 |
| M2 ULTRA | METAL | medium-dis | 1 | 1 | 102.34 | 1.01 | 0.42 | 0.01 | 22c96b4 |
| M2 ULTRA | METAL | large-v2 | 1 | 1 | 203.01 | 11.03 | 5.45 | 0.20 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_0 | 1 | 1 | 240.05 | 10.18 | 5.98 | 0.23 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-q5_1 | 1 | 1 | 239.22 | 10.23 | 5.87 | 0.23 | 22c96b4 |
| M2 ULTRA | METAL | large-v2-dis | 1 | 1 | 181.14 | 1.14 | 0.48 | 0.02 | 22c96b4 |
Ryzen 9 5950X + RTX 2060
| CPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| Ryzen 9 5950X | AVX2 | tiny | 8 | 0 | 195.29 | 1.57 | 0.51 | 0.26 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | tiny-q5_0 | 8 | 0 | 213.33 | 1.10 | 0.50 | 0.30 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | tiny-q5_1 | 8 | 0 | 219.38 | 1.18 | 0.53 | 0.32 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | base | 8 | 0 | 424.85 | 3.71 | 1.03 | 0.46 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | base-q5_0 | 8 | 0 | 473.61 | 1.81 | 0.82 | 0.52 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | base-q5_1 | 8 | 0 | 484.14 | 1.92 | 0.85 | 0.56 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | small | 8 | 0 | 1458.32 | 12.66 | 3.09 | 1.26 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | small-q5_0 | 8 | 0 | 1673.22 | 6.42 | 2.18 | 1.45 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | small-q5_1 | 8 | 0 | 1724.78 | 6.72 | 2.32 | 1.52 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium | 8 | 0 | 4333.87 | 36.80 | 8.56 | 3.37 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium-q5_0 | 8 | 0 | 5194.09 | 19.21 | 5.71 | 3.97 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium-q5_1 | 8 | 0 | 5450.39 | 20.01 | 5.99 | 4.17 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | medium-dis | 8 | 0 | 3995.19 | 5.08 | 1.21 | 0.55 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2 | 8 | 0 | 8056.16 | 69.74 | 16.11 | 6.13 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2-q5_0 | 8 | 0 | 9799.58 | 35.16 | 10.49 | 7.28 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2-q5_1 | 8 | 0 | ms | 36.74 | 11.02 | 7.65 | 22c96b4 |
| Ryzen 9 5950X | AVX2 | large-v2-dis | 8 | 0 | 7490.03 | 7.40 | 1.70 | 0.72 | 22c96b4 |
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| RTX 2060 | AVX2 CUDA | tiny | 8 | 0 | 12.54 | 0.93 | 0.29 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_0 | 8 | 0 | 12.73 | 0.98 | 0.24 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_1 | 8 | 0 | 12.72 | 0.99 | 0.24 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base | 8 | 0 | 24.14 | 1.28 | 0.41 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_0 | 8 | 0 | 24.58 | 1.38 | 0.35 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_1 | 8 | 0 | 24.58 | 1.37 | 0.35 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small | 8 | 0 | 74.70 | 2.91 | 0.84 | 0.07 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_0 | 8 | 0 | 76.12 | 2.84 | 0.77 | 0.08 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_1 | 8 | 0 | 76.14 | 2.84 | 0.76 | 0.08 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium | 8 | 0 | 200.69 | 6.46 | 1.83 | 0.17 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_0 | 8 | 0 | 204.80 | 5.90 | 1.65 | 0.19 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_1 | 8 | 0 | 205.61 | 5.85 | 1.61 | 0.19 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-dis | 8 | 0 | 186.17 | 0.86 | 0.24 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2 | 8 | 0 | 347.22 | 10.36 | 2.82 | 0.29 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_0 | 8 | 0 | 357.06 | 8.81 | 2.58 | 0.34 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_1 | 8 | 0 | 356.97 | 8.62 | 2.49 | 0.33 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-dis | 8 | 0 | 318.05 | 1.03 | 0.34 | 0.04 | 22c96b4 |
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| RTX 2060 | AVX2 CUDA | tiny | 8 | 1 | 7.21 | 0.76 | 0.29 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_0 | 8 | 1 | 7.42 | 0.82 | 0.18 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | tiny-q5_1 | 8 | 1 | 7.38 | 0.82 | 0.18 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base | 8 | 1 | 13.49 | 1.04 | 0.36 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_0 | 8 | 1 | 13.94 | 1.13 | 0.26 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | base-q5_1 | 8 | 1 | 13.94 | 1.14 | 0.26 | 0.03 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small | 8 | 1 | 42.81 | 2.33 | 0.69 | 0.05 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_0 | 8 | 1 | 44.43 | 2.25 | 0.59 | 0.06 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | small-q5_1 | 8 | 1 | 44.11 | 2.24 | 0.58 | 0.06 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium | 8 | 1 | 115.47 | 5.17 | 1.45 | 0.11 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_0 | 8 | 1 | 120.37 | 4.63 | 1.25 | 0.13 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-q5_1 | 8 | 1 | 120.28 | 4.55 | 1.21 | 0.13 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | medium-dis | 8 | 1 | 101.69 | 0.75 | 0.20 | 0.02 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2 | 8 | 1 | 205.67 | 8.49 | 2.19 | 0.18 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_0 | 8 | 1 | 214.07 | 6.88 | 1.94 | 0.22 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-q5_1 | 8 | 1 | 213.98 | 6.70 | 1.86 | 0.22 | 22c96b4 |
| RTX 2060 | AVX2 CUDA | large-v2-dis | 8 | 1 | 176.71 | 0.91 | 0.31 | 0.03 | 22c96b4 |
V100
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| V100 | AVX2 CUDA | tiny | 1 | 0 | 6.21 | 1.11 | 0.30 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | tiny-q5_1 | 1 | 0 | 5.97 | 1.10 | 0.26 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | base | 1 | 0 | 10.95 | 1.47 | 0.42 | 0.03 | 22c96b4 |
| V100 | AVX2 CUDA | base-q5_1 | 1 | 0 | 11.13 | 1.53 | 0.36 | 0.03 | 22c96b4 |
| V100 | AVX2 CUDA | small | 1 | 0 | 31.57 | 2.96 | 0.84 | 0.05 | 22c96b4 |
| V100 | AVX2 CUDA | small-q5_1 | 1 | 0 | 32.19 | 3.14 | 0.75 | 0.05 | 22c96b4 |
| V100 | AVX2 CUDA | medium | 1 | 0 | 85.88 | 6.49 | 1.80 | 0.10 | 22c96b4 |
| V100 | AVX2 CUDA | medium-q5_0 | 1 | 0 | 87.53 | 5.82 | 1.37 | 0.10 | 22c96b4 |
| V100 | AVX2 CUDA | large-v2 | 1 | 0 | 142.23 | 8.92 | 2.62 | 0.15 | 22c96b4 |
| GPU | Config | Model | Th | FA | Enc. | Dec. | Bch5 | PP | Commit |
|---|---|---|---|---|---|---|---|---|---|
| V100 | AVX2 CUDA | tiny | 1 | 1 | 3.96 | 0.82 | 0.24 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | tiny-q5_1 | 1 | 1 | 4.05 | 0.85 | 0.18 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | base | 1 | 1 | 7.21 | 1.16 | 0.36 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | base-q5_1 | 1 | 1 | 7.39 | 1.21 | 0.26 | 0.02 | 22c96b4 |
| V100 | AVX2 CUDA | small | 1 | 1 | 19.81 | 2.41 | 0.71 | 0.04 | 22c96b4 |
| V100 | AVX2 CUDA | small-q5_1 | 1 | 1 | 20.50 | 2.31 | 0.51 | 0.04 | 22c96b4 |
| V100 | AVX2 CUDA | medium | 1 | 1 | 56.02 | 4.89 | 1.44 | 0.07 | 22c96b4 |
| V100 | AVX2 CUDA | medium-q5_0 | 1 | 1 | 57.85 | 4.73 | 1.09 | 0.08 | 22c96b4 |
| V100 | AVX2 CUDA | large-v2 | 1 | 1 | 92.73 | 7.18 | 2.14 | 0.10 | 22c96b4 |
For reference, here is the performance for v1.5.0
What's Changed
- Added up-to-date repository for Python bindings to README by @AIWintermuteAI in https://github.com/ggerganov/whisper.cpp/pull/2063
- main : pass nullptr when regex is empty by @ggerganov in https://github.com/ggerganov/whisper.cpp/pull/2070
- Fix for fft sizes in whisper.cpp by @goldwaving in https://github.com/ggerganov/whisper.cpp/pull/2080
- make : change GNU make default CXX from g++ to c++ by @przemoc in https://github.com/ggerganov/whisper.cpp/pull/2100
- node : fix compilation by @pprobst in https://github.com/ggerganov/whisper.cpp/pull/2115
- minor: add CMakeSettings.json to gitignore by @iboB in https://github.com/ggerganov/whisper.cpp/pull/2094
- build : improve disabling AVX-512 by @przemoc in https://github.com/ggerganov/whisper.cpp/pull/2129
- ggml : expose SSE3 and SSSE3 for MSVC when AVX is available by @przemoc in https://github.com/ggerganov/whisper.cpp/pull/2128
- sync : ggml by @ggerganov in https://github.com/ggerganov/whisper.cpp/pull/2142
- main : fix double quote escaping in csv output by @mashizora in https://github.com/ggerganov/whisper.cpp/pull/2090
- fix(compile): fix josn_cpp, INTERFACE library requires no source arguments by @xingchensong in https://github.com/ggerganov/whisper.cpp/pull/2069
- whisper.android: update example, add field to print timestamp by @codezjx in https://github.com/ggerganov/whisper.cpp/pull/2072
- main: add options for temperature control by @ziegenberg in https://github.com/ggerganov/whisper.cpp/pull/2088
- main: dont print timings with --no-prints by @ziegenberg in https://github.com/ggerganov/whisper.cpp/pull/2108
- Remove un-needed request header from fetchRemote by @MagicalTux in https://github.com/ggerganov/whisper.cpp/pull/2119
- Add additional params to addon.node by @valVk in https://github.com/ggerganov/whisper.cpp/pull/2000
- Added CMake changes for building HIP/ROCm CUDA for AMD GPUs. by @aldorof in https://github.com/ggerganov/whisper.cpp/pull/2102
- node : add audio_ctx and audio buffer params by @pprobst in https://github.com/ggerganov/whisper.cpp/pull/2123
- fix: model path encoding in windows by @thewh1teagle in https://github.com/ggerganov/whisper.cpp/pull/2086
- Extended talk-llama example to reject runs without required arguments. by @petterreinholdtsen in https://github.com/ggerganov/whisper.cpp/pull/2153
- whisper : use flash attention by @ggerganov in https://github.com/ggerganov/whisper.cpp/pull/2152
New Contributors
- @AIWintermuteAI made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2063
- @goldwaving made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2080
- @mashizora made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2090
- @xingchensong made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2069
- @codezjx made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2072
- @ziegenberg made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2088
- @MagicalTux made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2119
- @valVk made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2000
- @aldorof made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2102
- @thewh1teagle made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2086
- @petterreinholdtsen made their first contribution in https://github.com/ggerganov/whisper.cpp/pull/2153
Full Changelog: https://github.com/ggerganov/whisper.cpp/compare/v1.5.5...v1.6.0
Binaries
https://github.com/ggerganov/whisper.cpp/actions/runs/9091347125
1、 whisper-bin-Win32.zip 1.87MB
2、 whisper-bin-x64.zip 2.15MB
3、 whisper-blas-bin-Win32.zip 8.39MB
4、 whisper-blas-clblast-bin-x64.zip 15.57MB
5、 whisper-cublas-11.8.0-bin-x64.zip 425.23MB
6、 whisper-cublas-12.2.0-bin-x64.zip 436.39MB
7、 win32-x86-64_whisper.dll.zip 414.73KB
8、 win32-x86_whisper.dll.zip 329.42KB