Xiaomi M2101K7BNY
Geekbench AI Score
448
Single Precision Score
430
Half Precision Score
797
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | MNS_UA |
| Upload Date | October 10 2024 06:03 AM |
| Views | 10 |
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
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
100% |
529
98.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
950
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
946
1.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
1341
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
551
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (Q)
|
95% |
1198
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
659
5.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
1343
12.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1569
2.04 IPS |
|
|
Style Transfer (HP)
|
89% |
1627
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3315
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
568
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
240
320.1 IPS |
|
|
Text Classification (HP)
|
100% |
239
319.2 IPS |
|
|
Text Classification (Q)
|
88% |
442
595.8 IPS |
|
|
Machine Translation (SP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
50% |
309
11.0 IPS |
