Xiaomi Poco X3 NFC
Geekbench AI Score
179
Single Precision Score
288
Half Precision Score
567
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 05:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
97% |
574
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1222
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
4114
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.01 IPS |
|
|
Object Detection (Q)
|
85% |
620
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (HP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (Q)
|
97% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
310
2.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
236
1.82 IPS |
|
|
Depth Estimation (Q)
|
22% |
101
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
2087
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1785
66.1 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.70 IPS |
|
|
Text Classification (HP)
|
100% |
161
215.0 IPS |
|
|
Text Classification (Q)
|
93% |
53
71.8 IPS |
|
|
Machine Translation (SP)
|
100% |
117
2.02 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
54% |
117
3.31 IPS |
