Xiaomi 25010PN30G
Geekbench AI Score
529
Single Precision Score
25064
Half Precision Score
62438
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 05 2026 07:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 25010PN30G |
| Model ID | Xiaomi 25010PN30G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
100% |
18698
3.48 KIPS |
|
|
Image Classification (Q)
|
96% |
45832
8.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
12580
203.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
48447
787.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
606
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
111499
130.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
434376
508.4 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (HP)
|
100% |
17862
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
27009
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
755
8.97 IPS |
|
|
Face Detection (HP)
|
100% |
36618
435.1 IPS |
|
|
Face Detection (Q)
|
97% |
127800
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
74409
573.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
158163
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
1159
1.49 IPS |
|
|
Style Transfer (HP)
|
100% |
75947
97.6 IPS |
|
|
Style Transfer (Q)
|
98% |
407636
525.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49809
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
122661
4.55 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.0 IPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
10391
13.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5481
94.4 IPS |
|
|
Machine Translation (Q)
|
56% |
3292
84.8 IPS |
