Xiaomi 25010PN30G
Geekbench AI Score
493
Single Precision Score
23948
Half Precision Score
53131
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ricardoventura |
| Upload Date | September 28 2025 04:36 AM |
| Views | 3 |
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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
18414
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
43979
8.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
12373
200.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
35293
573.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
111402
130.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
396570
464.2 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
16857
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
19108
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (HP)
|
100% |
36652
435.5 IPS |
|
|
Face Detection (Q)
|
97% |
123257
1.47 KIPS |
|
|
Depth Estimation (SP)
|
100% |
650
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
71737
552.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
129992
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
1160
1.49 IPS |
|
|
Style Transfer (HP)
|
98% |
80872
104.3 IPS |
|
|
Style Transfer (Q)
|
98% |
408330
526.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47997
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123485
4.58 KIPS |
|
|
Text Classification (SP)
|
100% |
428
571.7 IPS |
|
|
Text Classification (HP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
7034
9.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2682
69.1 IPS |
