Xiaomi 25010PN30G
Geekbench AI Score
2474
Single Precision Score
2514
Half Precision Score
4353
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ricardoventura |
| Upload Date | September 28 2025 04:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1605
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
1754
326.3 IPS |
|
|
Image Classification (Q)
|
100% |
3951
734.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4542
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4705
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4470
5.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
11022
13.1 IPS |
|
|
Object Detection (SP)
|
98% |
1436
114.3 IPS |
|
|
Object Detection (HP)
|
98% |
1477
117.5 IPS |
|
|
Object Detection (Q)
|
83% |
3655
295.2 IPS |
|
|
Face Detection (SP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (Q)
|
95% |
8688
103.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4266
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4276
33.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8710
79.8 IPS |
|
|
Style Transfer (SP)
|
89% |
10849
14.1 IPS |
|
|
Style Transfer (HP)
|
89% |
10703
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22824
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4905
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
88% |
827
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.1 IPS |
