Xiaomi Poco X3 NFC
Geekbench AI Score
510
Single Precision Score
497
Half Precision Score
976
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 08:33 AM |
| Views | 3 |
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% |
240
44.7 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
703
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
764
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
971
1.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
1654
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
83% |
702
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.33 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (Q)
|
95% |
1526
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
824
6.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
1218
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1738
2.26 IPS |
|
|
Style Transfer (HP)
|
89% |
1699
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3857
4.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.4 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (Q)
|
88% |
573
773.3 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (Q)
|
50% |
345
12.3 IPS |
