| Upload Date | December 17 2025 06:55 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25069PTEBG |
| Model ID | Xiaomi 25069PTEBG |
| Motherboard | goya |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3463 revision 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores @ 2.10 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.25 GHz |
| Memory Information | |
|---|---|
| Size | 11.10 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
99% |
7908
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1664
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8198
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16868
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
69873
81.9 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
4132
327.8 IPS |
|
|
Object Detection (Q)
|
86% |
5102
410.4 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
10833
128.7 IPS |
|
|
Face Detection (Q)
|
97% |
12154
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
761
5.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
18013
138.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
29623
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2615
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
52868
68.0 IPS |
|
|
Style Transfer (Q)
|
98% |
178819
230.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9226
340.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
24288
900.0 IPS |
|
|
Text Classification (SP)
|
100% |
91
122.1 IPS |
|
|
Text Classification (HP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (Q)
|
93% |
1241
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
1814
31.2 IPS |
|
|
Machine Translation (Q)
|
60% |
343
7.73 IPS |