Xiaomi Poco X3 Pro
Geekbench AI Score
248
Single Precision Score
247
Half Precision Score
451
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 09:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
190
35.4 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
100% |
471
87.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
327
5.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
466
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
714
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
108
8.59 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.92 IPS |
|
|
Object Detection (Q)
|
83% |
306
24.7 IPS |
|
|
Face Detection (SP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.37 IPS |
|
|
Face Detection (Q)
|
95% |
601
7.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
393
3.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
656
6.01 IPS |
|
|
Style Transfer (SP)
|
89% |
818
1.06 IPS |
|
|
Style Transfer (HP)
|
89% |
820
1.06 IPS |
|
|
Style Transfer (Q)
|
98% |
1535
1.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
404
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
119
158.7 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.0 IPS |
|
|
Text Classification (Q)
|
88% |
271
365.0 IPS |
|
|
Machine Translation (SP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (Q)
|
50% |
159
5.66 IPS |
