Xiaomi 25019PNF3C
Geekbench AI Score
1170
Single Precision Score
2130
Half Precision Score
1997
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 18 2025 05:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25019PNF3C |
| Model ID | Xiaomi 25019PNF3C |
| 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% |
698
129.9 IPS |
|
|
Image Classification (HP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (Q)
|
99% |
1264
235.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2088
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1555
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
2428
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
1257
99.7 IPS |
|
|
Object Detection (Q)
|
86% |
1280
102.8 IPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (Q)
|
97% |
4052
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1550
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4275
33.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3596
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5803
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
12413
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12152
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1980
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1938
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.6 IPS |
|
|
Text Classification (HP)
|
100% |
433
577.6 IPS |
|
|
Text Classification (Q)
|
91% |
669
899.8 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
57% |
538
13.1 IPS |
