Xiaomi Poco F2 Pro
Geekbench AI Score
421
Single Precision Score
505
Half Precision Score
1432
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 05:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 865 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Poco F2 Pro |
| Model ID | Xiaomi POCO F2 Pro |
| Motherboard | lmi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
440
81.8 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.2 IPS |
|
|
Image Classification (Q)
|
97% |
1460
272.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1372
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
5535
6.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
11777
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.5 IPS |
|
|
Object Detection (Q)
|
85% |
1648
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
363
4.32 IPS |
|
|
Face Detection (Q)
|
97% |
3864
46.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
514
3.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.40 IPS |
|
|
Depth Estimation (Q)
|
22% |
276
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
805
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
525
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3859
4.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5580
206.8 IPS |
|
|
Text Classification (SP)
|
71% |
10
14.6 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.9 IPS |
|
|
Text Classification (Q)
|
93% |
172
231.3 IPS |
|
|
Machine Translation (SP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
54% |
237
6.67 IPS |
