Profile Job Results
Jobs
jgdexvek5
Results Ready
Name
trocr_TrOCRDecoder
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]index: int32[1]kv_0_attn_key: float32[1, 8, 19, 32]kv_0_attn_val: float32[1, 8, 19, 32]kv_0_cross_attn_key: float32[1, 8, 578, 32]kv_0_cross_attn_val: float32[1, 8, 578, 32]kv_1_attn_key: float32[1, 8, 19, 32]kv_1_attn_val: float32[1, 8, 19, 32]kv_1_cross_attn_key: float32[1, 8, 578, 32]kv_1_cross_attn_val: float32[1, 8, 578, 32]kv_2_attn_key: float32[1, 8, 19, 32]kv_2_attn_val: float32[1, 8, 19, 32]kv_2_cross_attn_key: float32[1, 8, 578, 32]kv_2_cross_attn_val: float32[1, 8, 578, 32]kv_3_attn_key: float32[1, 8, 19, 32]kv_3_attn_val: float32[1, 8, 19, 32]kv_3_cross_attn_key: float32[1, 8, 578, 32]kv_3_cross_attn_val: float32[1, 8, 578, 32]kv_4_attn_key: float32[1, 8, 19, 32]kv_4_attn_val: float32[1, 8, 19, 32]kv_4_cross_attn_key: float32[1, 8, 578, 32]kv_4_cross_attn_val: float32[1, 8, 578, 32]kv_5_attn_key: float32[1, 8, 19, 32]kv_5_attn_val: float32[1, 8, 19, 32]kv_5_cross_attn_key: float32[1, 8, 578, 32]kv_5_cross_attn_val: float32[1, 8, 578, 32]Completion Time
4/8/2025, 9:30:10 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
2.06 ms
Estimated Peak Memory Usage
0 ‑ 30 MB
Compute Units
NPU
399
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.89 s | 652‑653 MB |
Subsequent App Load | 4.17 s | 705‑708 MB |
Inference | 2.06 ms | 0‑30 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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