Profile Job Results
Jobs
jgzrk0ro5
Results Ready
Name
track_anything_float_TrackAnythingEncodeValue
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 320, 576, 3]mask: float32[1, 320, 576]f16: float32[1, 1024, 20, 36]hidden_state: float32[1, 1, 64, 20, 36]Completion Time
1/10/2026, 6:17:36 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
12.2 ms
Estimated Peak Memory Usage
3 ‑ 7 MB
Compute Units
NPU
109
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.87 s | 379‑380 MB |
Subsequent App Load | 223 ms | 45‑48 MB |
Inference | 12.2 ms | 3‑7 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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