Profile Job Results
Jobs
j5mwo8zqp
Results Ready
Name
fcn_resnet50
Target Device
- Snapdragon 7 Gen 4 QRD
- Android 15
- Snapdragon® 7 Gen 4 | SM7750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
4/5/2026, 9:03:32 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 15 (AQ3A.250411.001)
- Build ID: Eliza.LA.1.0.r1-00181-STD.PROD-1
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
26.3 ms
Estimated Peak Memory Usage
0 ‑ 281 MB
Compute Units
NPU
82
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.33 min | 273‑280 MB |
Subsequent App Load | 160 ms | 37‑319 MB |
Inference | 26.3 ms | 0‑281 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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