Xiaomi Poco F3
Geekbench AI Score
738
Single Precision Score
1088
Half Precision Score
964
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 25 2025 05:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Poco F3 |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | alioth |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
862
160.3 IPS |
|
|
Image Classification (Q)
|
99% |
760
141.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4005
4.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
6772
7.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
6612
7.74 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
99% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
85% |
470
37.8 IPS |
|
|
Face Detection (SP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1596
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1848
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2193
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4642
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8848
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
8673
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
35% |
26
252.8 IPS |
|
|
Text Classification (HP)
|
35% |
45
410.4 IPS |
|
|
Text Classification (Q)
|
35% |
43
386.7 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (HP)
|
97% |
242
4.18 IPS |
|
|
Machine Translation (Q)
|
64% |
164
3.37 IPS |
