Xiaomi M2101K7BNY
Geekbench ML Score
220
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 11:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi M2101K7BNY |
| Model ID | Xiaomi M2101K7BNY |
| Motherboard | rosemary |
| CPU Information | |
|---|---|
| Name | ARM MT6785 |
| 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
199
21.3 IPS |
|
|
Image Classification (F16)
|
100% |
174
18.7 IPS |
|
|
Image Classification (I8)
|
81% |
214
23.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
268
1.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
568
3.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
175
6.13 IPS |
|
|
Object Detection (F16)
|
100% |
109
3.83 IPS |
|
|
Object Detection (I8)
|
52% |
312
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
186
2.14 IPS |
|
|
Face Detection (F16)
|
100% |
247
2.84 IPS |
|
|
Face Detection (I8)
|
75% |
379
4.36 IPS |
|
|
Text Classification (F32)
|
100% |
334
132.0 IPS |
|
|
Text Classification (F16)
|
100% |
340
134.4 IPS |
|
|
Machine Translation (F32)
|
100% |
223
34.4 IPS |
|
|
Machine Translation (F16)
|
100% |
225
34.7 IPS |
