Profile Job Results
Jobs
jp180mn7g
Results Ready
Name
edgetam_EdgeTAMDecoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_embeddings: float32[1, 64, 64, 256]high_res_features1: float32[1, 256, 256, 32]high_res_features2: float32[1, 128, 128, 64]sparse_embedding: float32[1, 3, 256]Completion Time
3/8/2026, 1:39:01 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
5.35 ms
Estimated Peak Memory Usage
0 ‑ 72 MB
Compute Units
NPU
806
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.66 s | 135‑137 MB |
Subsequent App Load | 211 ms | 12‑77 MB |
Inference | 5.35 ms | 0‑72 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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