Xiaomi Poco F7
Geekbench AI Score
1479
Single Precision Score
1683
Half Precision Score
2154
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 23 2026 11:14 AM |
| Views | 6 |
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% |
1189
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
1132
210.6 IPS |
|
|
Image Classification (Q)
|
99% |
1826
340.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2777
3.24 IPS |
|
|
Pose Estimation (HP)
|
92% |
4690
5.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
5608
6.57 IPS |
|
|
Object Detection (SP)
|
98% |
1132
90.1 IPS |
|
|
Object Detection (HP)
|
97% |
834
66.4 IPS |
|
|
Object Detection (Q)
|
85% |
1268
102.1 IPS |
|
|
Face Detection (SP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2765
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
3665
43.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2492
19.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3425
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3890
35.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6095
7.91 IPS |
|
|
Style Transfer (HP)
|
88% |
5734
7.45 IPS |
|
|
Style Transfer (Q)
|
98% |
9816
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1772
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2356
87.3 IPS |
|
|
Text Classification (SP)
|
100% |
360
480.3 IPS |
|
|
Text Classification (HP)
|
100% |
434
579.2 IPS |
|
|
Text Classification (Q)
|
93% |
469
630.2 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
96% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
55% |
518
13.9 IPS |
