Xiaomi Poco X3 Pro
Geekbench AI Score
817
Single Precision Score
1222
Half Precision Score
1131
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2025 06:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 860 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Poco X3 Pro |
| Model ID | Xiaomi M2102J20SG |
| Motherboard | vayu |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
563
104.6 IPS |
|
|
Image Classification (HP)
|
100% |
924
171.9 IPS |
|
|
Image Classification (Q)
|
99% |
841
156.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1276
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3511
4.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
5810
6.78 IPS |
|
|
Pose Estimation (Q)
|
97% |
5723
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
99% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
85% |
527
42.4 IPS |
|
|
Face Detection (SP)
|
100% |
1482
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
2097
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1839
14.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2645
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2169
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4346
5.59 IPS |
|
|
Style Transfer (HP)
|
100% |
7971
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7875
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1154
42.8 IPS |
|
|
Text Classification (SP)
|
35% |
37
360.9 IPS |
|
|
Text Classification (HP)
|
35% |
60
546.0 IPS |
|
|
Text Classification (Q)
|
35% |
59
539.4 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (HP)
|
97% |
547
9.45 IPS |
|
|
Machine Translation (Q)
|
64% |
437
8.97 IPS |
