| Upload Date | December 03 2025 05:43 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi M2012K11G |
| Model ID | Xiaomi M2012K11G |
| Motherboard | haydn |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
692
128.8 IPS |
|
|
Image Classification (HP)
|
100% |
1017
189.2 IPS |
|
|
Image Classification (Q)
|
99% |
901
168.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1425
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4767
5.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
8371
9.77 IPS |
|
|
Pose Estimation (Q)
|
97% |
7936
9.29 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
99% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
85% |
667
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
2273
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2363
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3339
25.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2738
25.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5871
7.55 IPS |
|
|
Style Transfer (HP)
|
100% |
11068
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10887
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1114
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1573
58.3 IPS |
|
|
Text Classification (SP)
|
35% |
31
298.6 IPS |
|
|
Text Classification (HP)
|
35% |
48
439.6 IPS |
|
|
Text Classification (Q)
|
35% |
46
422.0 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.23 IPS |
|
|
Machine Translation (HP)
|
97% |
360
6.22 IPS |
|
|
Machine Translation (Q)
|
64% |
278
5.71 IPS |