游雁
2023-04-21 dee9bd8e31859ff679bf1fe39f51f43b7f3f702f
funasr/runtime/python/benchmark_onnx.md
@@ -1,29 +1,45 @@
# 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
@@ -73,10 +89,22 @@
## [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     |
@@ -85,7 +113,3 @@
|  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     |)