Profile Job Results
Jobs
jp0k2n7e5
Results Ready
Name
efficientnet_b4
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 380, 380, 3]Completion Time
5/31/2026, 8:19:56 PM
Versions
- LiteRT: 1.4.3
- 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-2026.05.27.0
Estimated Inference Time
3.20 ms
Estimated Peak Memory Usage
0 ‑ 102 MB
Compute Units
NPU
481
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.68 s | 270‑276 MB |
Subsequent App Load | 105 ms | 47‑151 MB |
Inference | 3.20 ms | 0‑102 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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