Xiaomi Poco X3 Pro
Geekbench AI Score
218
Single Precision Score
211
Half Precision Score
402
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | funskeen |
| Upload Date | February 18 2025 04:08 PM |
| Views | 7 |
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 | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
100% |
322
59.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
316
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
657
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.87 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.95 IPS |
|
|
Object Detection (Q)
|
83% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
95% |
520
6.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
334
2.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
555
5.08 IPS |
|
|
Style Transfer (SP)
|
89% |
765
0.99 IPS |
|
|
Style Transfer (HP)
|
89% |
781
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1481
1.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
110
146.9 IPS |
|
|
Text Classification (HP)
|
100% |
98
131.4 IPS |
|
|
Text Classification (Q)
|
88% |
197
265.3 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
50% |
190
6.74 IPS |
