| User | yasminewsw |
| Upload Date | October 16 2025 05:38 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23043RP34C |
| Model ID | Xiaomi 23043RP34C |
| Motherboard | pipa |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
100% |
487
90.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
203
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
204
3.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
522
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
717
0.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
1164
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
516
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (Q)
|
95% |
960
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
555
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
564
4.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1114
10.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1257
1.63 IPS |
|
|
Style Transfer (HP)
|
89% |
1247
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2648
3.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
659
24.4 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.1 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.6 IPS |
|
|
Text Classification (Q)
|
88% |
290
391.6 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
50% |
175
6.21 IPS |