Mi 10 Lite Zoom Xiaomi M2002J9E
Geekbench AI Score
187
Single Precision Score
183
Half Precision Score
420
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 10 2025 02:17 AM |
| Views | 14 |
| Notes | Mi 10 Lite Zoom (8+256) Qualcomm Snapdragon 765G MIUI 13.0.7.0.SJVCNXM |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2002J9E |
| Model ID | Xiaomi M2002J9E |
| Motherboard | vangogh |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
99% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
296
4.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
219
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
218
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
799
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.52 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.47 IPS |
|
|
Object Detection (Q)
|
87% |
323
25.9 IPS |
|
|
Face Detection (SP)
|
100% |
289
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (Q)
|
97% |
601
7.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
220
1.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
214
1.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
568
5.15 IPS |
|
|
Style Transfer (SP)
|
100% |
357
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1058
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
110
4.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
146
195.3 IPS |
|
|
Text Classification (HP)
|
100% |
184
246.0 IPS |
|
|
Text Classification (Q)
|
91% |
288
387.4 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (Q)
|
57% |
208
5.07 IPS |
