Xiaomi Poco F4
Geekbench AI Score
441
Single Precision Score
506
Half Precision Score
1397
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 05:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Poco F4 |
| Model ID | Xiaomi 22021211RG |
| Motherboard | munch |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.3 IPS |
|
|
Image Classification (Q)
|
97% |
1398
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1298
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6048
7.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
11505
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
85% |
1689
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (Q)
|
97% |
3678
43.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
498
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
295
2.28 IPS |
|
|
Depth Estimation (Q)
|
22% |
264
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
742
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
3894
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2325
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5425
201.0 IPS |
|
|
Text Classification (SP)
|
71% |
11
16.1 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.8 IPS |
|
|
Text Classification (Q)
|
93% |
166
223.2 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
54% |
237
6.68 IPS |
