Xiaomi Poco X3 Pro
Geekbench AI Score
370
Single Precision Score
422
Half Precision Score
1011
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | funskeen |
| Upload Date | February 18 2025 04:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
97% |
702
131.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1398
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
3102
3.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
10600
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.3 IPS |
|
|
Object Detection (Q)
|
85% |
1253
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
97% |
3143
37.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
22% |
220
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
649
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3503
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
781
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4591
170.1 IPS |
|
|
Text Classification (SP)
|
71% |
6
9.39 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.4 IPS |
|
|
Text Classification (Q)
|
93% |
90
121.2 IPS |
|
|
Machine Translation (SP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (Q)
|
54% |
160
4.52 IPS |
