Created
February 7, 2024 09:08
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AWS Graviton3 32vCPUs
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| $ ./main -m models/ggml-base-q5_1.bin -f ~/zh.wav | |
| whisper_init_from_file_with_params_no_state: loading model from 'models/ggml-base-q5_1.bin' | |
| whisper_model_load: loading model | |
| whisper_model_load: n_vocab = 51865 | |
| whisper_model_load: n_audio_ctx = 1500 | |
| whisper_model_load: n_audio_state = 512 | |
| whisper_model_load: n_audio_head = 8 | |
| whisper_model_load: n_audio_layer = 6 | |
| whisper_model_load: n_text_ctx = 448 | |
| whisper_model_load: n_text_state = 512 | |
| whisper_model_load: n_text_head = 8 | |
| whisper_model_load: n_text_layer = 6 | |
| whisper_model_load: n_mels = 80 | |
| whisper_model_load: ftype = 9 | |
| whisper_model_load: qntvr = 1 | |
| whisper_model_load: type = 2 (base) | |
| whisper_model_load: adding 1608 extra tokens | |
| whisper_model_load: n_langs = 99 | |
| whisper_model_load: CPU total size = 59.22 MB (1 buffers) | |
| whisper_model_load: model size = 59.12 MB | |
| whisper_init_state: kv self size = 16.52 MB | |
| whisper_init_state: kv cross size = 18.43 MB | |
| whisper_init_state: compute buffer (conv) = 16.17 MB | |
| whisper_init_state: compute buffer (encode) = 94.42 MB | |
| whisper_init_state: compute buffer (cross) = 5.08 MB | |
| whisper_init_state: compute buffer (decode) = 105.96 MB | |
| system_info: n_threads = 4 / 32 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | METAL = 0 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0 | | |
| main: processing '/home/ubuntu/zh.wav' (79949 samples, 5.0 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = en, task = transcribe, timestamps = 1 ... | |
| [00:00:00.000 --> 00:00:04.480] I think running is the most important thing for me to see health. | |
| whisper_print_timings: load time = 53.78 ms | |
| whisper_print_timings: fallbacks = 0 p / 0 h | |
| whisper_print_timings: mel time = 6.41 ms | |
| whisper_print_timings: sample time = 27.94 ms / 82 runs ( 0.34 ms per run) | |
| whisper_print_timings: encode time = 1310.36 ms / 1 runs ( 1310.36 ms per run) | |
| whisper_print_timings: decode time = 4.54 ms / 2 runs ( 2.27 ms per run) | |
| whisper_print_timings: batchd time = 132.78 ms / 78 runs ( 1.70 ms per run) | |
| whisper_print_timings: prompt time = 0.00 ms / 1 runs ( 0.00 ms per run) | |
| whisper_print_timings: total time = 1539.46 ms |
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| ./main -m models/ggml-large-v3-q5_0.bin -f ~/zh.wav | |
| whisper_init_from_file_with_params_no_state: loading model from 'models/ggml-large-v3-q5_0.bin' | |
| whisper_model_load: loading model | |
| whisper_model_load: n_vocab = 51866 | |
| whisper_model_load: n_audio_ctx = 1500 | |
| whisper_model_load: n_audio_state = 1280 | |
| whisper_model_load: n_audio_head = 20 | |
| whisper_model_load: n_audio_layer = 32 | |
| whisper_model_load: n_text_ctx = 448 | |
| whisper_model_load: n_text_state = 1280 | |
| whisper_model_load: n_text_head = 20 | |
| whisper_model_load: n_text_layer = 32 | |
| whisper_model_load: n_mels = 128 | |
| whisper_model_load: ftype = 8 | |
| whisper_model_load: qntvr = 2 | |
| whisper_model_load: type = 5 (large v3) | |
| whisper_model_load: adding 1609 extra tokens | |
| whisper_model_load: n_langs = 100 | |
| whisper_model_load: CPU total size = 1080.97 MB (2 buffers) | |
| whisper_model_load: model size = 1080.47 MB | |
| whisper_init_state: kv self size = 220.20 MB | |
| whisper_init_state: kv cross size = 245.76 MB | |
| whisper_init_state: compute buffer (conv) = 35.50 MB | |
| whisper_init_state: compute buffer (encode) = 233.50 MB | |
| whisper_init_state: compute buffer (cross) = 10.15 MB | |
| whisper_init_state: compute buffer (decode) = 108.99 MB | |
| system_info: n_threads = 4 / 32 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | METAL = 0 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0 | | |
| main: processing '/home/ubuntu/zh.wav' (79949 samples, 5.0 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = en, task = transcribe, timestamps = 1 ... | |
| [00:00:00.000 --> 00:00:05.000] I think running is most important because it brings me health. | |
| whisper_print_timings: load time = 326.38 ms | |
| whisper_print_timings: fallbacks = 0 p / 0 h | |
| whisper_print_timings: mel time = 7.40 ms | |
| whisper_print_timings: sample time = 24.98 ms / 72 runs ( 0.35 ms per run) | |
| whisper_print_timings: encode time = 29965.32 ms / 1 runs (29965.32 ms per run) | |
| whisper_print_timings: decode time = 27.04 ms / 1 runs ( 27.04 ms per run) | |
| whisper_print_timings: batchd time = 1586.20 ms / 69 runs ( 22.99 ms per run) | |
| whisper_print_timings: prompt time = 0.00 ms / 1 runs ( 0.00 ms per run) | |
| whisper_print_timings: total time = 31941.65 ms |
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| ./main -m models/ggml-medium-q5_0.bin -f ~/zh.wav | |
| whisper_init_from_file_with_params_no_state: loading model from 'models/ggml-medium-q5_0.bin' | |
| whisper_model_load: loading model | |
| whisper_model_load: n_vocab = 51865 | |
| whisper_model_load: n_audio_ctx = 1500 | |
| whisper_model_load: n_audio_state = 1024 | |
| whisper_model_load: n_audio_head = 16 | |
| whisper_model_load: n_audio_layer = 24 | |
| whisper_model_load: n_text_ctx = 448 | |
| whisper_model_load: n_text_state = 1024 | |
| whisper_model_load: n_text_head = 16 | |
| whisper_model_load: n_text_layer = 24 | |
| whisper_model_load: n_mels = 80 | |
| whisper_model_load: ftype = 8 | |
| whisper_model_load: qntvr = 1 | |
| whisper_model_load: type = 4 (medium) | |
| whisper_model_load: adding 1608 extra tokens | |
| whisper_model_load: n_langs = 99 | |
| whisper_model_load: CPU total size = 538.97 MB (1 buffers) | |
| whisper_model_load: model size = 538.59 MB | |
| whisper_init_state: kv self size = 132.12 MB | |
| whisper_init_state: kv cross size = 147.46 MB | |
| whisper_init_state: compute buffer (conv) = 28.00 MB | |
| whisper_init_state: compute buffer (encode) = 187.14 MB | |
| whisper_init_state: compute buffer (cross) = 8.46 MB | |
| whisper_init_state: compute buffer (decode) = 107.98 MB | |
| system_info: n_threads = 4 / 32 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | METAL = 0 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0 | | |
| main: processing '/home/ubuntu/zh.wav' (79949 samples, 5.0 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = en, task = transcribe, timestamps = 1 ... | |
| [00:00:00.000 --> 00:00:04.400] I think the most important thing in running is to bring health to me. | |
| whisper_print_timings: load time = 184.65 ms | |
| whisper_print_timings: fallbacks = 0 p / 0 h | |
| whisper_print_timings: mel time = 6.42 ms | |
| whisper_print_timings: sample time = 19.27 ms / 71 runs ( 0.27 ms per run) | |
| whisper_print_timings: encode time = 15536.68 ms / 1 runs (15536.68 ms per run) | |
| whisper_print_timings: decode time = 14.88 ms / 1 runs ( 14.88 ms per run) | |
| whisper_print_timings: batchd time = 847.85 ms / 68 runs ( 12.47 ms per run) | |
| whisper_print_timings: prompt time = 0.00 ms / 1 runs ( 0.00 ms per run) | |
| whisper_print_timings: total time = 16613.97 ms |
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| $ ./main -m models/ggml-small-q5_1.bin -f ~/zh.wav | |
| whisper_init_from_file_with_params_no_state: loading model from 'models/ggml-small-q5_1.bin' | |
| whisper_model_load: loading model | |
| whisper_model_load: n_vocab = 51865 | |
| whisper_model_load: n_audio_ctx = 1500 | |
| whisper_model_load: n_audio_state = 768 | |
| whisper_model_load: n_audio_head = 12 | |
| whisper_model_load: n_audio_layer = 12 | |
| whisper_model_load: n_text_ctx = 448 | |
| whisper_model_load: n_text_state = 768 | |
| whisper_model_load: n_text_head = 12 | |
| whisper_model_load: n_text_layer = 12 | |
| whisper_model_load: n_mels = 80 | |
| whisper_model_load: ftype = 9 | |
| whisper_model_load: qntvr = 1 | |
| whisper_model_load: type = 3 (small) | |
| whisper_model_load: adding 1608 extra tokens | |
| whisper_model_load: n_langs = 99 | |
| whisper_model_load: CPU total size = 189.68 MB (1 buffers) | |
| whisper_model_load: model size = 189.49 MB | |
| whisper_init_state: kv self size = 49.55 MB | |
| whisper_init_state: kv cross size = 55.30 MB | |
| whisper_init_state: compute buffer (conv) = 22.08 MB | |
| whisper_init_state: compute buffer (encode) = 140.78 MB | |
| whisper_init_state: compute buffer (cross) = 6.77 MB | |
| whisper_init_state: compute buffer (decode) = 106.97 MB | |
| system_info: n_threads = 4 / 32 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | METAL = 0 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 | CUDA = 0 | COREML = 0 | OPENVINO = 0 | | |
| main: processing '/home/ubuntu/zh.wav' (79949 samples, 5.0 sec), 4 threads, 1 processors, 5 beams + best of 5, lang = en, task = transcribe, timestamps = 1 ... | |
| [00:00:00.000 --> 00:00:04.360] I think the most important thing to do is to bring me a healthy body. | |
| whisper_print_timings: load time = 86.54 ms | |
| whisper_print_timings: fallbacks = 0 p / 0 h | |
| whisper_print_timings: mel time = 6.43 ms | |
| whisper_print_timings: sample time = 29.51 ms / 87 runs ( 0.34 ms per run) | |
| whisper_print_timings: encode time = 4970.38 ms / 1 runs ( 4970.38 ms per run) | |
| whisper_print_timings: decode time = 0.00 ms / 1 runs ( 0.00 ms per run) | |
| whisper_print_timings: batchd time = 398.29 ms / 85 runs ( 4.69 ms per run) | |
| whisper_print_timings: prompt time = 0.00 ms / 1 runs ( 0.00 ms per run) | |
| whisper_print_timings: total time = 5495.13 ms |
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