Xiaomi Poco X3 NFC
Geekbench AI Score
322
Single Precision Score
323
Half Precision Score
550
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 732G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Poco X3 NFC |
| Model ID | Xiaomi M2007J20CG |
| Motherboard | surya |
| 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 | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.6 IPS |
|
|
Image Classification (Q)
|
100% |
361
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
417
6.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
890
1.06 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.7 IPS |
|
|
Object Detection (Q)
|
83% |
377
30.5 IPS |
|
|
Face Detection (SP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (HP)
|
100% |
480
5.71 IPS |
|
|
Face Detection (Q)
|
95% |
848
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
626
4.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
834
7.64 IPS |
|
|
Style Transfer (SP)
|
89% |
1084
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1120
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2076
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
337
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
509
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (Q)
|
88% |
292
393.5 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
50% |
230
8.17 IPS |
