Xiaomi Poco F7
Geekbench AI Score
1600
Single Precision Score
2542
Half Precision Score
2107
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 23 2026 11:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1024
190.4 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.7 IPS |
|
|
Image Classification (Q)
|
100% |
1479
275.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3064
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7546
8.80 IPS |
|
|
Pose Estimation (HP)
|
99% |
13493
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13144
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.8 IPS |
|
|
Object Detection (HP)
|
99% |
1274
101.0 IPS |
|
|
Object Detection (Q)
|
85% |
1252
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
5922
70.4 IPS |
|
|
Face Detection (Q)
|
97% |
5206
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4284
33.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
6541
50.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
5066
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9191
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19453
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19212
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3308
122.6 IPS |
|
|
Text Classification (SP)
|
35% |
42
410.6 IPS |
|
|
Text Classification (HP)
|
35% |
58
530.2 IPS |
|
|
Text Classification (Q)
|
33% |
45
507.1 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
48% |
308
11.8 IPS |
