Xiaomi Poco F7
Geekbench AI Score
1593
Single Precision Score
1882
Half Precision Score
2490
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | BirdWithNoBeak |
| Upload Date | February 12 2026 11:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8s Gen 4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi Poco F7 |
| Model ID | Xiaomi 25053PC47G |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 2 Cores @ 2.02 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Cluster 3 | 3 Cores @ 3.01 GHz |
| Cluster 4 | 1 Core @ 3.21 GHz |
| Memory Information | |
|---|---|
| Size | 10.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1110
206.3 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.2 IPS |
|
|
Image Classification (Q)
|
99% |
1648
307.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2248
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2778
3.24 IPS |
|
|
Pose Estimation (HP)
|
92% |
5173
6.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
6242
7.31 IPS |
|
|
Object Detection (SP)
|
98% |
1199
95.4 IPS |
|
|
Object Detection (HP)
|
97% |
944
75.1 IPS |
|
|
Object Detection (Q)
|
85% |
1680
135.4 IPS |
|
|
Face Detection (SP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
3912
46.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2639
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3958
30.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4340
40.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6767
8.78 IPS |
|
|
Style Transfer (HP)
|
88% |
6377
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
12096
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2176
80.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2960
109.7 IPS |
|
|
Text Classification (SP)
|
100% |
421
561.9 IPS |
|
|
Text Classification (HP)
|
100% |
591
789.0 IPS |
|
|
Text Classification (Q)
|
93% |
696
935.0 IPS |
|
|
Machine Translation (SP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (HP)
|
96% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
55% |
559
15.0 IPS |
