Xiaomi M2101K7BNY
Geekbench AI Score
422
Single Precision Score
420
Half Precision Score
773
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6785V/CD |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2101K7BNY |
| Model ID | Xiaomi M2101K7BNY |
| Motherboard | rosemary |
| CPU Information | |
|---|---|
| Name | ARM MT6785V/CD |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 5.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
100% |
335
62.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
238
3.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
615
10.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
914
1.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
910
1.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
1284
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
83% |
545
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (Q)
|
95% |
1308
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
653
5.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1273
11.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1509
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1567
2.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3214
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
232
309.7 IPS |
|
|
Text Classification (HP)
|
100% |
231
307.8 IPS |
|
|
Text Classification (Q)
|
88% |
436
588.5 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.97 IPS |
|
|
Machine Translation (Q)
|
50% |
298
10.6 IPS |
