| User | kicsipapucs |
| Upload Date | July 20 2025 12:34 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 13 |
| Model ID | Xiaomi 2211133G |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (Q)
|
99% |
385
71.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
411
6.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1021
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
87% |
418
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
420
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (Q)
|
97% |
875
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
822
7.46 IPS |
|
|
Style Transfer (SP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1793
2.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
587
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.1 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.9 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.5 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
57% |
313
7.65 IPS |