Xiaomi M2101K7BNY
Geekbench AI Score
351
Single Precision Score
336
Half Precision Score
582
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epitgtb29 |
| Upload Date | August 24 2025 08:41 PM |
| Views | 11 |
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% |
195
36.2 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
100% |
360
66.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
436
7.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
1294
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
391
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (Q)
|
95% |
861
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
571
4.40 IPS |
|
|
Depth Estimation (HP)
|
99% |
613
4.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
919
8.42 IPS |
|
|
Style Transfer (SP)
|
89% |
1147
1.49 IPS |
|
|
Style Transfer (HP)
|
89% |
1175
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2225
2.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.4 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.4 IPS |
|
|
Text Classification (Q)
|
88% |
301
405.5 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.14 IPS |
|
|
Machine Translation (Q)
|
50% |
218
7.75 IPS |
