Profile Job Results
Jobs
jp3e1yzx5
Results Ready
Name
ffnet_40s_w8a8
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
10/26/2025, 1:58:31 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
56.2 ms
Estimated Peak Memory Usage
1 ‑ 126 MB
Compute Units
NPU
96
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.91 s | 273‑284 MB |
Subsequent App Load | 4.13 s | 254‑457 MB |
Inference | 56.2 ms | 1‑126 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.useConvHmx | true |
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