Xiaomi Poco F5
Geekbench AI Score
980
Single Precision Score
1680
Half Precision Score
1494
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 07:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 7+ Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Poco F5 |
| Model ID | Xiaomi 23049PCD8G |
| Motherboard | marble |
| 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 @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (HP)
|
100% |
1113
206.9 IPS |
|
|
Image Classification (Q)
|
99% |
1043
194.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1864
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4700
5.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
8550
9.98 IPS |
|
|
Pose Estimation (Q)
|
97% |
8351
9.78 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
85% |
789
63.5 IPS |
|
|
Face Detection (SP)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (Q)
|
97% |
3418
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2095
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3868
29.9 IPS |
|
|
Depth Estimation (Q)
|
65% |
3107
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5366
6.90 IPS |
|
|
Style Transfer (HP)
|
100% |
11782
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11755
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2095
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2082
77.1 IPS |
|
|
Text Classification (SP)
|
35% |
31
305.9 IPS |
|
|
Text Classification (HP)
|
35% |
40
367.4 IPS |
|
|
Text Classification (Q)
|
35% |
39
357.6 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
97% |
573
9.90 IPS |
|
|
Machine Translation (Q)
|
64% |
428
8.80 IPS |
