Mi 10 Lite Zoom Xiaomi M2002J9E
Geekbench AI Score
172
Single Precision Score
292
Half Precision Score
296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 10 2025 01:28 AM |
| Views | 15 |
| Notes | Mi 10 Lite Zoom (8+256) Qualcomm Snapdragon 765G MIUI 13.0.7.0.SJVCNXM |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
99
18.5 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
97% |
190
35.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
261
4.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (Q)
|
95% |
300
0.35 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.66 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
89% |
132
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.97 IPS |
|
|
Face Detection (Q)
|
97% |
525
6.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
231
1.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.69 IPS |
|
|
Depth Estimation (Q)
|
62% |
392
3.71 IPS |
|
|
Style Transfer (SP)
|
100% |
407
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1070
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
102
3.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.33 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.1 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.2 IPS |
|
|
Text Classification (Q)
|
91% |
288
387.7 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.17 IPS |
