Xiaomi Poco X3 Pro
Geekbench AI Score
232
Single Precision Score
235
Half Precision Score
431
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 860 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.7 IPS |
|
|
Image Classification (Q)
|
100% |
290
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
325
5.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
707
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.34 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (Q)
|
83% |
302
24.4 IPS |
|
|
Face Detection (SP)
|
100% |
285
3.39 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
95% |
598
7.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
396
3.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
624
5.71 IPS |
|
|
Style Transfer (SP)
|
89% |
819
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
824
1.07 IPS |
|
|
Style Transfer (Q)
|
98% |
1544
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
236
8.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
401
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.6 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.2 IPS |
|
|
Text Classification (Q)
|
88% |
240
323.7 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
50% |
201
7.15 IPS |
