rtf benchmark

funasr/runtime/python/benchmark_libtorch.md

@@ -0,0 +1,34 @@
+# Benchmark 
+
+### Data set:
+Aishell1 test set , the total audio duration is 36108.919 seconds.
+
+### Tools
+- Install 
+```shell
+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
+```
+
+- recipe
+set the model, data path and output_dir
+
+```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) 
+
+ ### Intel(R) Xeon(R) Platinum 8369B CPU @ 2.90GHz   16core-32processor    with avx512_vnni
+
+
+### Intel(R) Xeon(R) Platinum 8269CY CPU @ 2.50GHz   16core-32processor    with avx512_vnni
+
+
+### Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz    32core-64processor   without avx512_vnni
+
+
+## [Paraformer](https://modelscope.cn/models/damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8358-tensorflow1/summary)

funasr/runtime/python/utils/test_rtf.sh

@@ -10,8 +10,8 @@ rtf_tool=test_rtf.py
 
 #:<<!
 model_name="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
-backend="onnx"
-quantize='True'
+backend="onnx" # "torch"
+quantize='True' # 'False'
 tag=${model_name}/${backend}_${quantize}
 !