Profile Job Results
Jobs
jgozrn11p
Results Ready
Name
yolov7_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 640, 640, 3]Completion Time
3/11/2025, 7:53:11 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
10.2 ms
Estimated Peak Memory Usage
0 ‑ 33 MB
Compute Units
NPU
228
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.08 s | 51‑58 MB |
Subsequent App Load | 2.15 s | 75‑118 MB |
Inference | 10.2 ms | 0‑33 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device