Xiaomi Poco F3
Geekbench AI Score
780
Single Precision Score
687
Half Precision Score
1239
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 06:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
493
91.6 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (Q)
|
100% |
1395
259.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1599
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2736
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
83% |
1078
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (Q)
|
95% |
2535
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1306
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2532
23.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3434
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3441
4.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6448
8.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
627
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.2 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (Q)
|
88% |
291
392.9 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.12 IPS |
