Performance Specifications
This section describes only the performance specifications of Ascend AI Processors 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 uses a single Ascend AI Processor as an example to describe the performance indicators in basic scenarios. The performance indicators of other resolutions can be estimated in the same way.
Performance Specifications (Atlas inference products )
The following performance data is based on executing acl.rt.synchronize_stream once after 64 asynchronous media data processing tasks are delivered to a stream, and the host server is configured as: Intel(R) Xeon(R) CPU E5-2680 v4@2.40 GHz as the CPU frequency, with 14 CPU cores.
Scenario |
Total Frame Rate |
|---|---|
|
n * 360fps |
|
4320 FPS |
|
n * 90fps |
|
1080 FPS |
|
n * 22.5fps |
|
270 FPS |
A VPC batch processing API (whose name contains "batch", for example, acl.media.dvpp_vpc_batch_crop_async) allows the parallel image processing on multiple VPC hardware units in the DVPP. Therefore, a single channel can reach the maximum total frame rate.
Performance Specifications (Atlas training products )
The following performance data is based on executing acl.rt.synchronize_stream once after 10 asynchronous media data processing tasks are delivered to a stream.
- For non-8K images in the single-device scenario, the performance specifications are as follows (one channel corresponds to one thread).
Table 2 Performance specifications of the Ascend AI Processor on the Atlas training products Scenario
Total Frame Rate
- Input resolution: 1080p (1920 x 1080)
- Output resolution: 1080p (1920 x 1080)
- Input/Output format: YUV420SP
- n channels (n < 16)
n * 360fps
- Input resolution: 1080p (1920 x 1080)
- Output resolution: 1080p (1920 x 1080)
- Input/Output format: YUV420SP
- n channels (n ≥ 16)
5760 FPS
- Input resolution: 4K (3840 x 2160)
- Output resolution: 4K (3840 x 2160)
- Input/Output format: YUV420SP
- n channels (n < 16)
n * 90fps
- Input resolution: 4K (3840 x 2160)
- Output resolution: 4K (3840 x 2160)
- Input/Output format: YUV420SP
- n channels (n ≥ 16)
1440 FPS
- For 8K images in the single-device scenario, the performance specifications are as follows (one channel corresponds to one thread).
Table 3 Performance specifications of the Ascend AI Processor on the Atlas training products Scenario
Total Frame Rate
- Input resolution: 8K (7680 x 4320)
- Output resolution: 1080p (1920 x 1080)
- Input/Output format: YUV420SP
- n channels (n < 16)
n * 25fps
- Input resolution: 8K (7680 x 4320)
- Output resolution: 1080p (1920 x 1080)
- Input/Output format: YUV420SP
- n channels (n ≥ 16)
400 FPS
- Input resolution: 8K (7680 x 4320)
- Output resolution: 4K (3840 x 2160)
- Input/Output format: YUV420SP
- n channels (n < 16)
n * 25fps
- Input resolution: 8K (7680 x 4320)
- Output resolution: 4K (3840 x 2160)
- Input/Output format: YUV420SP
- n channels (n ≥ 16)
400 FPS
A VPC batch processing API (whose name contains "batch", for example, acl.media.dvpp_vpc_batch_crop_async) allows the parallel image processing on multiple VPC hardware units in the DVPP. Therefore, a single channel can reach the maximum total frame rate.
Performance Specifications (Atlas 200I/500 A2 inference products )
In the single-device scenario, the performance specifications are as follows (one channel corresponds to one thread; n channels correspond to n threads).
Scenario |
Total Frame Rate |
|---|---|
|
n * 800fps |
|
1600 FPS |
|
n * 200fps |
|
400 FPS |
|
n * 100fps |
|
200 FPS |
A VPC batch processing API (whose name includes "batch", such as acl.media.dvpp_vpc_batch_crop_async) allows parallel image processing of multiple VPC hardware units in the DVPP. Therefore, a single channel can reach the maximum total frame rate.