Xiaomi Poco F7
Geekbench AI Score
2147
Single Precision Score
2651
Half Precision Score
3568
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Snesplayer |
| Upload Date | April 06 2026 01:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8s Gen 4 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (Q)
|
99% |
2817
525.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3462
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3740
4.36 IPS |
|
|
Pose Estimation (HP)
|
92% |
7415
8.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
8626
10.1 IPS |
|
|
Object Detection (SP)
|
98% |
1536
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
1384
110.2 IPS |
|
|
Object Detection (Q)
|
85% |
2287
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (Q)
|
97% |
5729
68.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3528
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5496
42.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
6065
56.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9561
12.4 IPS |
|
|
Style Transfer (HP)
|
88% |
9452
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17786
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2697
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4295
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.0 IPS |
|
|
Text Classification (HP)
|
100% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
93% |
881
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
55% |
745
20.0 IPS |
