| Upload Date | March 19 2026 06:07 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25113PN0EG |
| Model ID | Xiaomi 25113PN0EG |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 10.75 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
20724
3.85 KIPS |
|
|
Image Classification (Q)
|
96% |
44559
8.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
13393
217.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
48434
787.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
131450
153.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
473217
553.9 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
19500
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
25078
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
36735
436.5 IPS |
|
|
Face Detection (Q)
|
97% |
114660
1.37 KIPS |
|
|
Depth Estimation (SP)
|
100% |
464
3.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
75752
583.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
166339
1.55 KIPS |
|
|
Style Transfer (SP)
|
100% |
668
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
76087
97.8 IPS |
|
|
Style Transfer (Q)
|
98% |
462888
596.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43691
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
130603
4.84 KIPS |
|
|
Text Classification (SP)
|
100% |
230
306.4 IPS |
|
|
Text Classification (HP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
9413
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (HP)
|
100% |
5877
101.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3854
99.3 IPS |