Xiaomi Poco X3 NFC
Geekbench AI Score
186
Single Precision Score
277
Half Precision Score
281
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 05:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
108
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
97% |
177
33.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
135
2.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
239
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
240
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
288
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
92
7.33 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
89% |
136
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
246
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (Q)
|
97% |
445
5.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.31 IPS |
|
|
Depth Estimation (Q)
|
62% |
352
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1071
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1065
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
204
7.55 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.6 IPS |
|
|
Text Classification (Q)
|
91% |
272
365.6 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
57% |
204
4.98 IPS |
