Xiaomi 25128PNA1C
Geekbench AI Score
502
Single Precision Score
27484
Half Precision Score
69497
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | zxhsean |
| Upload Date | January 03 2026 06:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25128PNA1C |
| Model ID | Xiaomi 25128PNA1C |
| 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 | 14.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (HP)
|
100% |
22229
4.13 KIPS |
|
|
Image Classification (Q)
|
96% |
47214
8.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
15140
245.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
59727
971.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
550
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
126099
147.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
494533
578.8 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
20996
1.67 KIPS |
|
|
Object Detection (Q)
|
85% |
30481
2.45 KIPS |
|
|
Face Detection (SP)
|
100% |
752
8.93 IPS |
|
|
Face Detection (HP)
|
100% |
41498
493.1 IPS |
|
|
Face Detection (Q)
|
97% |
148380
1.77 KIPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
81445
627.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
162365
1.51 KIPS |
|
|
Style Transfer (SP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
81636
104.9 IPS |
|
|
Style Transfer (Q)
|
98% |
491630
634.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45846
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
136394
5.05 KIPS |
|
|
Text Classification (SP)
|
100% |
403
538.2 IPS |
|
|
Text Classification (HP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
9688
13.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5897
101.6 IPS |
|
|
Machine Translation (Q)
|
56% |
3951
101.8 IPS |
