Profile Job Results
Jobs
jpv6evez5
Results Ready
Name
ffnet_40s_quantized
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
11/26/2024, 1:24:13 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
4.08 ms
Estimated Peak Memory Usage
1 ‑ 12 MB
Compute Units
NPU
99
| Stage | Time | Memory |
|---|---|---|
First App Load | 937 ms | 113‑114 MB |
Subsequent App Load | 969 ms | 86‑136 MB |
Inference | 4.08 ms | 1‑12 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 |
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