| Upload Date | March 19 2026 06:27 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.93 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (Q)
|
99% |
1815
338.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (HP)
|
92% |
3751
4.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
4385
5.14 IPS |
|
|
Object Detection (SP)
|
98% |
1076
85.7 IPS |
|
|
Object Detection (HP)
|
97% |
941
74.9 IPS |
|
|
Object Detection (Q)
|
85% |
1794
144.5 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
2775
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
4047
48.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2182
16.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3058
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3161
29.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4894
6.35 IPS |
|
|
Style Transfer (HP)
|
88% |
4567
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8540
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1692
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2673
99.1 IPS |
|
|
Text Classification (SP)
|
100% |
542
724.1 IPS |
|
|
Text Classification (HP)
|
100% |
771
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
934
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
96% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
55% |
679
18.2 IPS |