Profile Job Results
Jobs
jpevme7o5
Results Ready
Name
ffnet_78s_lowres_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 512, 1024, 3]Completion Time
1/11/2026, 2:44:16 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
13.7 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
151
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.42 s | 474‑475 MB |
Subsequent App Load | 242 ms | 52‑55 MB |
Inference | 13.7 ms | 1‑3 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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