| | |
| | | # Benchmark |
| | | # CPU Benchmark (ONNX-python) |
| | | |
| | | ## Configuration |
| | | ### Data set: |
| | | Aishell1 [test set](https://www.openslr.org/33/) , the total audio duration is 36108.919 seconds. |
| | | |
| | | ### Tools |
| | | - Install ModelScope and FunASR |
| | | #### Install Requirements |
| | | Install ModelScope and FunASR |
| | | ```shell |
| | | pip install -U modelscope funasr |
| | | # For the users in China, you could install with the command: |
| | | #pip install -U funasr -i https://mirror.sjtu.edu.cn/pypi/web/simple |
| | | ``` |
| | | |
| | | ```shell |
| | | pip install "modelscope[audio_asr]" --upgrade -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html |
| | | git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR |
| | | pip install --editable ./ |
| | | cd funasr/runtime/python/utils |
| | | pip install -r requirements.txt |
| | | ``` |
| | | Install requirements |
| | | ```shell |
| | | git clone https://github.com/alibaba-damo-academy/FunASR.git && cd FunASR |
| | | cd funasr/runtime/python/utils |
| | | pip install -r requirements.txt |
| | | ``` |
| | | |
| | | - recipe |
| | | #### Recipe |
| | | |
| | | set the model, data path and output_dir |
| | | set the model, data path and output_dir |
| | | |
| | | ```shell |
| | | nohup bash test_rtf.sh &> log.txt & |
| | | ``` |
| | | ```shell |
| | | nohup bash test_rtf.sh &> log.txt & |
| | | ``` |
| | | |
| | | |
| | | ## [Paraformer-large](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) |
| | | |
| | | Number of Parameter: 220M |
| | | |
| | | Storage size: 880MB |
| | | |
| | | Storage size after int8-quant: 237MB |
| | | |
| | | CER: 1.95% |
| | | |
| | | CER after int8-quant: 1.95% |
| | | |
| | | ### Intel(R) Xeon(R) Platinum 8369B CPU @ 2.90GHz 16core-32processor with avx512_vnni |
| | | |
| | |
| | | |
| | | ## [Paraformer](https://modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8358-tensorflow1/summary) |
| | | |
| | | Number of Parameter: 68M |
| | | |
| | | Storage size: 275MB |
| | | |
| | | Storage size after int8-quant: 81MB |
| | | |
| | | CER: 3.73% |
| | | |
| | | CER after int8-quant: 3.78% |
| | | |
| | | ### Intel(R) Xeon(R) Platinum 8369B CPU @ 2.90GHz 16core-32processor with avx512_vnni |
| | | |
| | | | concurrent-tasks | processing time(s) | RTF | Speedup Rate | |
| | | |:----------------:|:------------------:|:------:|:------------:| |
| | | | 1 (onnx fp32) | 1173 | 0.0325 | 30.8 | |
| | | | 1 (onnx int8) | 976 | 0.0270 | 37.0 | |
| | | | 16 (onnx fp32) | 91 | 0.0025 | 395.2 | |
| | | | 16 (onnx int8) | 78 | 0.0022 | 463.0 | |
| | | | 32 (onnx fp32) | 60 | 0.0017 | 598.8 | |
| | |
| | | | 64 (onnx int8) | 31 | 0.0009 | 1162.8 | |
| | | | 96 (onnx fp32) | 57 | 0.0016 | 632.9 | |
| | | | 96 (onnx int8) | 33 | 0.0009 | 1098.9 | |
| | | |
| | | [//]: # (| 1 (onnx fp32) | 2806 | 0.0777 | 12.9 |) |
| | | |
| | | [//]: # (| 1 (onnx int8) | 1611 | 0.0446 | 22.4 |) |