Xiaomi M2012K11AG
Geekbench ML Score
462
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 05:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
426
45.6 IPS |
|
|
Image Classification (F16)
|
100% |
424
45.5 IPS |
|
|
Image Classification (I8)
|
81% |
200
21.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
666
4.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
679
4.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
1010
6.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
291
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
290
1.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
247
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
493
17.3 IPS |
|
|
Object Detection (F16)
|
100% |
515
18.1 IPS |
|
|
Object Detection (I8)
|
52% |
350
12.3 IPS |
|
|
Face Detection (F32)
|
100% |
735
8.45 IPS |
|
|
Face Detection (F16)
|
100% |
734
8.44 IPS |
|
|
Face Detection (I8)
|
75% |
630
7.23 IPS |
|
|
Text Classification (F32)
|
100% |
349
138.0 IPS |
|
|
Text Classification (F16)
|
100% |
343
135.8 IPS |
|
|
Machine Translation (F32)
|
100% |
595
91.6 IPS |
|
|
Machine Translation (F16)
|
100% |
595
91.7 IPS |
