Xiaomi Poco F5
Geekbench AI Score
974
Single Precision Score
1672
Half Precision Score
1519
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 07:58 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% |
763
141.9 IPS |
|
|
Image Classification (HP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (Q)
|
99% |
1040
194.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1815
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4655
5.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
8628
10.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
8400
9.84 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
99% |
840
66.6 IPS |
|
|
Object Detection (Q)
|
85% |
937
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
2243
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3928
46.7 IPS |
|
|
Face Detection (Q)
|
97% |
3404
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2072
16.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3903
30.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
3139
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5399
6.94 IPS |
|
|
Style Transfer (HP)
|
100% |
11752
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11605
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2100
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2059
76.3 IPS |
|
|
Text Classification (SP)
|
35% |
31
305.5 IPS |
|
|
Text Classification (HP)
|
35% |
41
368.7 IPS |
|
|
Text Classification (Q)
|
35% |
41
375.3 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
97% |
577
9.97 IPS |
|
|
Machine Translation (Q)
|
64% |
422
8.67 IPS |
