| Upload Date | November 08 2025 01:28 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 12 |
| Model ID | Xiaomi 2201123G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
1021
189.9 IPS |
|
|
Image Classification (Q)
|
99% |
1026
191.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1740
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4411
5.15 IPS |
|
|
Pose Estimation (HP)
|
99% |
8113
9.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
7816
9.15 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (HP)
|
99% |
707
56.0 IPS |
|
|
Object Detection (Q)
|
85% |
682
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
3224
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2174
16.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3769
29.1 IPS |
|
|
Depth Estimation (Q)
|
65% |
2979
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5116
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
10795
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10784
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1738
64.4 IPS |
|
|
Text Classification (SP)
|
35% |
34
333.5 IPS |
|
|
Text Classification (HP)
|
35% |
44
404.6 IPS |
|
|
Text Classification (Q)
|
35% |
44
403.9 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
97% |
552
9.54 IPS |
|
|
Machine Translation (Q)
|
64% |
389
8.00 IPS |