Profile Job Results
Jobs
jgzxq7zz5
Results Ready
Name
ffnet_78s
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
4/18/2026, 10:13:40 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
15.5 ms
Estimated Peak Memory Usage
2 ‑ 281 MB
Compute Units
NPU
151
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.60 s | 411‑418 MB |
Subsequent App Load | 122 ms | 55‑336 MB |
Inference | 15.5 ms | 2‑281 MB |
| Lite RT | 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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