Xiaomi Poco F7
Geekbench AI Score
357
Single Precision Score
356
Half Precision Score
776
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 23 2026 11:43 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
227
42.2 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.5 IPS |
|
|
Image Classification (Q)
|
99% |
567
105.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
589
9.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1387
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
87% |
555
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
535
6.36 IPS |
|
|
Face Detection (HP)
|
100% |
533
6.34 IPS |
|
|
Face Detection (Q)
|
97% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
457
3.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1018
9.24 IPS |
|
|
Style Transfer (SP)
|
100% |
753
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1787
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
232
8.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
786
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.8 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (Q)
|
91% |
482
647.3 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
57% |
389
9.51 IPS |
