| User | Kaliz |
| Upload Date | September 29 2025 04:51 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25053PC47G |
| Model ID | Xiaomi 25053PC47G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
270
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
99% |
674
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1838
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (HP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (Q)
|
87% |
735
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
661
7.86 IPS |
|
|
Face Detection (HP)
|
100% |
667
7.93 IPS |
|
|
Face Detection (Q)
|
97% |
1561
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
527
4.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
509
3.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
1148
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
830
1.07 IPS |
|
|
Style Transfer (HP)
|
100% |
827
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1968
2.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
883
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
335
446.6 IPS |
|
|
Text Classification (HP)
|
100% |
336
449.0 IPS |
|
|
Text Classification (Q)
|
91% |
534
717.6 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |