Xiaomi Poco F2 Pro
Geekbench AI Score
963
Single Precision Score
952
Half Precision Score
1643
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 28 2025 12:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.3 IPS |
|
|
Image Classification (Q)
|
100% |
1378
256.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2907
3.45 IPS |
|
|
Object Detection (SP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
83% |
1121
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
95% |
2613
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1768
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1818
14.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2652
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3519
4.57 IPS |
|
|
Style Transfer (HP)
|
89% |
3534
4.59 IPS |
|
|
Style Transfer (Q)
|
98% |
6728
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1609
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
447
596.6 IPS |
|
|
Text Classification (HP)
|
100% |
442
589.6 IPS |
|
|
Text Classification (Q)
|
88% |
728
982.0 IPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
