Xiaomi M2012K11AG
Geekbench ML Score
312
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2021 10:18 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi M2012K11AG |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
306
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
310
33.2 IPS |
|
|
Image Classification (I8)
|
81% |
194
20.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
560
3.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
532
3.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
679
4.19 IPS |
|
|
Pose Estimation (F32)
|
100% |
238
0.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (I8)
|
80% |
137
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
388
13.6 IPS |
|
|
Object Detection (F16)
|
100% |
361
12.7 IPS |
|
|
Object Detection (I8)
|
52% |
262
9.21 IPS |
|
|
Face Detection (F32)
|
100% |
577
6.63 IPS |
|
|
Face Detection (F16)
|
100% |
576
6.62 IPS |
|
|
Face Detection (I8)
|
75% |
483
5.55 IPS |
|
|
Text Classification (F32)
|
100% |
232
91.8 IPS |
|
|
Text Classification (F16)
|
100% |
233
92.3 IPS |
|
|
Machine Translation (F32)
|
100% |
476
73.4 IPS |
|
|
Machine Translation (F16)
|
100% |
56
8.60 IPS |
