Xiaomi M2101K7BNY
Geekbench AI Score
369
Single Precision Score
622
Half Precision Score
467
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epitgtb29 |
| Upload Date | August 24 2025 08:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (Q)
|
97% |
395
73.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
497
8.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1589
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2953
3.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
2878
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
99% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
83% |
349
28.2 IPS |
|
|
Face Detection (SP)
|
100% |
803
9.54 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
96% |
1080
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
942
7.26 IPS |
|
|
Depth Estimation (HP)
|
98% |
1751
13.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
1366
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2414
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4969
6.39 IPS |
|
|
Style Transfer (Q)
|
98% |
4721
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
35% |
9
86.1 IPS |
|
|
Text Classification (HP)
|
35% |
10
90.2 IPS |
|
|
Text Classification (Q)
|
31% |
9
130.8 IPS |
|
|
Machine Translation (SP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
43% |
42
2.44 IPS |
