Profile Job Results
Jobs
jpy4qov4p
Results Ready
Name
edgetam_encoder
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 1024, 3]unnorm_coords: float32[1, 2, 2]labels: float32[1, 2]Completion Time
4/5/2026, 11:42:49 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
99.4 ms
Estimated Peak Memory Usage
0 ‑ 448 MB
Compute Units
NPU
295
| Stage | Time | Memory |
|---|---|---|
First App Load | 30.5 s | 471‑478 MB |
Subsequent App Load | 253 ms | 16‑465 MB |
Inference | 99.4 ms | 0‑448 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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