| Upload Date | November 22 2025 07:40 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Mi 11 |
| Model ID | Xiaomi M2011K2G |
| Motherboard | venus |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Venus |
| 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 | 7.08 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
294
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.8 IPS |
|
|
Image Classification (Q)
|
100% |
1096
203.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1316
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1582
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
2512
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (Q)
|
83% |
1068
86.3 IPS |
|
|
Face Detection (SP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1240
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2614
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1533
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1558
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2433
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2697
3.50 IPS |
|
|
Style Transfer (HP)
|
89% |
2833
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
6045
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.1 IPS |
|
|
Text Classification (HP)
|
100% |
175
234.0 IPS |
|
|
Text Classification (Q)
|
88% |
288
387.8 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.70 IPS |