Xiaomi M2012K11AG
Geekbench ML Score
984
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 10:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2012K11AG |
| Model ID | Xiaomi M2012K11AG |
| Motherboard | alioth |
| 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
831
89.0 IPS |
|
|
Image Classification (F16)
|
100% |
1351
144.7 IPS |
|
|
Image Classification (I8)
|
80% |
2885
309.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1231
7.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
1535
9.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
5942
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
471
1.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
1762
7.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
3526
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
768
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
1038
36.4 IPS |
|
|
Object Detection (I8)
|
52% |
1380
48.4 IPS |
|
|
Face Detection (F32)
|
100% |
1321
15.2 IPS |
|
|
Face Detection (F16)
|
97% |
1799
20.7 IPS |
|
|
Face Detection (I8)
|
75% |
4451
51.1 IPS |
|
|
Text Classification (F32)
|
54% |
53
20.8 IPS |
|
|
Text Classification (F16)
|
54% |
53
21.0 IPS |
|
|
Machine Translation (F32)
|
100% |
456
70.2 IPS |
|
|
Machine Translation (F16)
|
100% |
468
72.1 IPS |
