Xiaomi M2101K7BNY
Geekbench AI Score
449
Single Precision Score
449
Half Precision Score
845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | MNS_UA |
| Upload Date | February 14 2025 05:14 PM |
| Views | 32 |
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% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
100% |
594
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
648
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
960
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
947
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
1318
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
83% |
579
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
650
7.72 IPS |
|
|
Face Detection (HP)
|
100% |
640
7.61 IPS |
|
|
Face Detection (Q)
|
95% |
1323
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
783
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
827
6.37 IPS |
|
|
Depth Estimation (Q)
|
64% |
1223
11.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1598
2.07 IPS |
|
|
Style Transfer (HP)
|
89% |
1658
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3388
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
812
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
241
322.2 IPS |
|
|
Text Classification (HP)
|
100% |
241
322.3 IPS |
|
|
Text Classification (Q)
|
88% |
452
610.2 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.44 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
50% |
316
11.2 IPS |
