Xiaomi 25010PN30G
Geekbench AI Score
2384
Single Precision Score
3738
Half Precision Score
3185
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 07:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.1 IPS |
|
|
Image Classification (Q)
|
100% |
2459
457.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5186
84.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4644
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11071
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
20995
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
20572
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (HP)
|
99% |
1877
148.9 IPS |
|
|
Object Detection (Q)
|
85% |
1805
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
4828
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8098
96.2 IPS |
|
|
Face Detection (Q)
|
97% |
7131
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6004
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8344
64.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
6498
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14975
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32240
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32049
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3277
121.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4805
178.1 IPS |
|
|
Text Classification (SP)
|
35% |
65
629.1 IPS |
|
|
Text Classification (HP)
|
35% |
70
635.7 IPS |
|
|
Text Classification (Q)
|
33% |
61
686.0 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (Q)
|
48% |
583
22.4 IPS |
