Xiaomi Poco F5 Pro
Geekbench AI Score
1240
Single Precision Score
1241
Half Precision Score
2775
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 12 2025 10:36 PM |
| Views | 1 |
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% |
533
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.7 IPS |
|
|
Image Classification (Q)
|
100% |
2023
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2195
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2709
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
6174
7.32 IPS |
|
|
Object Detection (SP)
|
100% |
562
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (Q)
|
83% |
2035
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (Q)
|
95% |
4464
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2457
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2467
19.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4781
43.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4469
5.80 IPS |
|
|
Style Transfer (HP)
|
89% |
4425
5.74 IPS |
|
|
Style Transfer (Q)
|
98% |
12701
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2715
100.6 IPS |
|
|
Text Classification (SP)
|
100% |
584
779.0 IPS |
|
|
Text Classification (HP)
|
100% |
608
812.0 IPS |
|
|
Text Classification (Q)
|
88% |
1138
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
580
20.6 IPS |
