Xiaomi M2101K7BNY
Geekbench AI Score
435
Single Precision Score
447
Half Precision Score
850
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 09:05 AM |
| Views | 1 |
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% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.1 IPS |
|
|
Image Classification (Q)
|
100% |
586
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
960
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
948
1.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
1415
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
83% |
574
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (Q)
|
95% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
817
6.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
747
5.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
1327
12.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1596
2.07 IPS |
|
|
Style Transfer (HP)
|
89% |
1577
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
3297
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
805
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
243
323.7 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.1 IPS |
|
|
Text Classification (Q)
|
88% |
446
601.5 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (Q)
|
50% |
307
10.9 IPS |
