Update performance

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

performance.md

@@ -23,10 +23,10 @@ end = time.time()
 print((end-start) / 100)
 ```
 
-## Results
+## Performance (Default model)
 
 - Device: MacOS, 2.3 GHz Quad-Core Intel Core i7, 8 CPUs
-- Input: 10s audio, loop for 100 times
+- Input: 10s mono audio, shape (1, ), sr , loop for 100 times
 
 | inference method | mem usage | avg time |
 | -- | -- | -- |
@@ -35,10 +35,39 @@ print((end-start) / 100)
 | onnx | 0.3G | 0.378s |
 
 - Device: MacOS, 2.3 GHz Quad-Core Intel Core i7, 8 CPUs
-- Input: 188s audio, loop for 100 times
+- Input: 188s stereo audio, shape (2, 8328408), sr 44100, loop for 100 times
 
 | inference method | mem usage | avg time |
 | -- | -- | -- |
 | pytorch | 2.6G | 8.162s |
 | torchscript | 2.8G | 7.507s |
 | onnx | 1.7G | 6.769s |
+
+- Device: MacOS, 2.3 GHz Quad-Core Intel Core i7, 8 CPUs
+- Input: 600s stereo audio, shape (2, 28800000), sr 48000, loop for 20 times
+
+| inference method | mem usage | avg time |
+| -- | -- | -- |
+| pytorch | 5G | 22.540s |
+| torchscript | 4.9G | 22.514s |
+| onnx | 3.4G | 17.874s |
+
+## Performance (Distilled model)
+
+- Device: MacOS, 2.3 GHz Quad-Core Intel Core i7, 8 CPUs
+- Input: 188s stereo audio, shape (2, 8328408), sr 44100, loop for 20 times
+
+| inference method | mem usage | avg time |
+| -- | -- | -- |
+| pytorch | 2.6G | 7.215s |
+| torchscript | 2.8G | 7.220s |
+| onnx | 1G | 6.410s |
+
+- Device: MacOS, 2.3 GHz Quad-Core Intel Core i7, 8 CPUs
+- Input: 600s stereo audio, shape (2, 28800000), sr 48000, loop for 20 times
+
+| inference method | mem usage | avg time |
+| -- | -- | -- |
+| pytorch | 4.9G | 22.482s |
+| torchscript | 5.1G | 21.511s |
+| onnx | 3.4G | 17.709s |