Xiaomi Poco X3 Pro
Geekbench AI Score
731
Single Precision Score
1127
Half Precision Score
1029
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 05 2025 11:38 PM |
| Views | 7 |
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 M2102J20SI |
| Motherboard | bhima |
| 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 | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.6 IPS |
|
|
Image Classification (Q)
|
99% |
789
147.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1090
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3021
3.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
5033
5.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
4901
5.74 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
99% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
85% |
643
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
1539
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1641
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2527
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2159
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3805
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
7550
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
7464
9.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1234
45.7 IPS |
|
|
Text Classification (SP)
|
35% |
26
251.0 IPS |
|
|
Text Classification (HP)
|
35% |
44
399.0 IPS |
|
|
Text Classification (Q)
|
35% |
40
362.3 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (HP)
|
97% |
370
6.40 IPS |
|
|
Machine Translation (Q)
|
64% |
289
5.94 IPS |
