Xiaomi 25010PN30G
Geekbench AI Score
2394
Single Precision Score
3692
Half Precision Score
3095
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ricardoventura |
| Upload Date | September 28 2025 04:17 AM |
| Views | 3 |
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% |
1438
267.5 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
100% |
2040
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4864
78.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4688
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11661
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
21024
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
20203
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
1834
145.5 IPS |
|
|
Object Detection (Q)
|
85% |
1724
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8570
101.8 IPS |
|
|
Face Detection (Q)
|
97% |
7290
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5965
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8310
64.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6498
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14694
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32426
41.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31689
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3197
118.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4704
174.3 IPS |
|
|
Text Classification (SP)
|
35% |
68
658.6 IPS |
|
|
Text Classification (HP)
|
35% |
64
584.9 IPS |
|
|
Text Classification (Q)
|
33% |
59
658.7 IPS |
|
|
Machine Translation (SP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (Q)
|
48% |
583
22.4 IPS |
