Xiaomi Poco X3 Pro
Geekbench AI Score
628
Single Precision Score
607
Half Precision Score
1149
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 04:00 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% |
491
91.4 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
100% |
1221
227.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
1399
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1710
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
2713
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
83% |
1069
86.3 IPS |
|
|
Face Detection (SP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1208
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2484
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1258
9.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
2294
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2876
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
2764
3.59 IPS |
|
|
Style Transfer (Q)
|
98% |
5582
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.2 IPS |
|
|
Text Classification (HP)
|
100% |
153
203.6 IPS |
|
|
Text Classification (Q)
|
88% |
264
356.2 IPS |
|
|
Machine Translation (SP)
|
100% |
262
4.50 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.86 IPS |
