Xiaomi 25010PN30G
Geekbench AI Score
590
Single Precision Score
25774
Half Precision Score
57622
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 09:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
19222
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
45284
8.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
13457
218.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
39738
646.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
111336
129.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
434155
508.2 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
18004
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
21452
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
40836
485.2 IPS |
|
|
Face Detection (Q)
|
97% |
138798
1.66 KIPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
77115
594.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
134824
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
1342
1.73 IPS |
|
|
Style Transfer (HP)
|
98% |
91216
117.6 IPS |
|
|
Style Transfer (Q)
|
98% |
456078
588.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53046
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
128723
4.77 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.3 IPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
7600
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2884
74.3 IPS |
