Xiaomi Poco X3 NFC
Geekbench AI Score
525
Single Precision Score
521
Half Precision Score
1015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 07:46 AM |
| 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% |
238
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
681
126.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1133
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1714
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
693
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (Q)
|
95% |
1571
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
919
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
879
6.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1584
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1895
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1894
2.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3891
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
969
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (Q)
|
88% |
572
771.2 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
