| Upload Date | November 04 2025 11:46 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2506BPN68G |
| Model ID | Xiaomi 2506BPN68G |
| Motherboard | klimt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.73 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (HP)
|
100% |
3909
726.9 IPS |
|
|
Image Classification (Q)
|
99% |
11416
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
3892
63.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1735
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7741
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15714
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
63580
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.1 IPS |
|
|
Object Detection (HP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (Q)
|
86% |
5296
426.0 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
10643
126.5 IPS |
|
|
Face Detection (Q)
|
97% |
11565
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
586
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
16281
125.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
28448
270.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
49127
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
168576
217.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2403
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9097
335.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
26317
975.2 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.3 IPS |
|
|
Text Classification (HP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
1843
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
1741
30.0 IPS |
|
|
Machine Translation (Q)
|
60% |
369
8.31 IPS |