Xiaomi Poco F7
Geekbench AI Score
365
Single Precision Score
360
Half Precision Score
39578
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | February 23 2026 11:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (Q)
|
96% |
32479
6.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
25741
418.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
416
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
264321
309.4 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.8 IPS |
|
|
Object Detection (HP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (Q)
|
86% |
15978
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
97% |
70837
844.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
457
3.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
98773
930.4 IPS |
|
|
Style Transfer (SP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
258491
333.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
235
8.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
82226
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
301
401.7 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.8 IPS |
|
|
Text Classification (Q)
|
93% |
8615
11.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
55% |
2085
54.6 IPS |
