Xiaomi Poco X3 Pro
Geekbench AI Score
313
Single Precision Score
310
Half Precision Score
597
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 13 2024 10:38 PM |
| Views | 2 |
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% |
168
31.3 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
100% |
461
85.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
509
8.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
640
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1107
1.31 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (Q)
|
95% |
903
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
510
3.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
905
8.29 IPS |
|
|
Style Transfer (SP)
|
89% |
1058
1.37 IPS |
|
|
Style Transfer (HP)
|
89% |
1077
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2281
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
275
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
582
21.6 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.5 IPS |
|
|
Text Classification (HP)
|
100% |
148
198.2 IPS |
|
|
Text Classification (Q)
|
88% |
259
349.7 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
50% |
165
5.84 IPS |
