Xiaomi Poco F5 Pro
Geekbench AI Score
733
Single Precision Score
815
Half Precision Score
1569
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 11:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Poco F5 Pro |
| Model ID | Xiaomi 23013PC75G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
100% |
1255
233.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1347
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1695
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1744
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
3817
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (Q)
|
83% |
1017
82.2 IPS |
|
|
Face Detection (SP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2756
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1642
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
1728
15.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2529
3.28 IPS |
|
|
Style Transfer (HP)
|
89% |
2828
3.67 IPS |
|
|
Style Transfer (Q)
|
98% |
7818
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
898
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1932
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
382
509.6 IPS |
|
|
Text Classification (HP)
|
100% |
351
468.0 IPS |
|
|
Text Classification (Q)
|
88% |
445
599.6 IPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
