Performance Specifications
For the
Performance Specifications
This section describes only the performance specifications of the Ascend AI Processor of each product, which may differ based on the memory and CPU configurations of the respective product. For details about the product performance specifications, see the official descriptions at the Ascend community.
This section takes a single Ascend AI Processor as an example to describe the performance specifications in basic scenarios, as shown in the table below. The performance at other resolutions can be estimated in the same way.
In the following table, one channel corresponds to one thread, 720p indicates a resolution of 1280 × 720 pixels, 1080p indicates a resolution of 1920 × 1080 pixels, and 4K indicates a resolution of 3840 × 2160 pixels.
Scenario |
Total Frame Rate |
|---|---|
|
n x 360 FPS |
|
4320 FPS |
|
n x 90 FPS |
|
1080 FPS |
|
n x 22.5 FPS |
|
270 FPS |
Scenario |
Total Frame Rate |
|---|---|
|
n x 800 FPS |
|
1600 FPS |
|
n × 200 FPS |
|
400 FPS |
|
n x 100 FPS |
|
200 FPS |
Scenario |
Total Frame Rate |
|---|---|
|
n x 1440 FPS |
|
14400 FPS |
|
n x 360 FPS |
|
3600 FPS |
|
n x 90 FPS |
|
900 FPS |
The VPC processing performance is closely related to the image resolution during processing. The maximum resolution of the input and output images is used as the reference resolution. A larger reference resolution indicates a longer processing time and lower performance.
A VPC batch processing API (whose name includes batch, such as hi_mpi_vpc_batch_crop_resize_paste) allows parallel image processing on multiple VPC hardware units in a digital vision preprocessor (DVPP). This maximizes the total frame rate on a single channel.