Xiaomi 25010PN30G
Geekbench AI Score
491
Single Precision Score
467
Half Precision Score
1107
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | ricardoventura |
| Upload Date | September 28 2025 04:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (Q)
|
99% |
725
135.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
704
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
513
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
1956
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.2 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
87% |
839
67.3 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
97% |
1682
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
642
4.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
648
4.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1493
13.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1155
1.48 IPS |
|
|
Style Transfer (HP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
3075
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.2 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.2 IPS |
|
|
Text Classification (Q)
|
91% |
669
899.3 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
537
13.1 IPS |
