Xiaomi M2012K11AG
Geekbench ML Score
408
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 10:07 AM |
| Views | 2 |
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 | 7.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
358
38.4 IPS |
|
|
Image Classification (F16)
|
100% |
354
37.9 IPS |
|
|
Image Classification (I8)
|
81% |
214
23.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
615
3.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
610
3.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
873
5.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
385
13.5 IPS |
|
|
Object Detection (F16)
|
100% |
379
13.3 IPS |
|
|
Object Detection (I8)
|
52% |
329
11.5 IPS |
|
|
Face Detection (F32)
|
100% |
578
6.64 IPS |
|
|
Face Detection (F16)
|
100% |
560
6.44 IPS |
|
|
Face Detection (I8)
|
75% |
557
6.40 IPS |
|
|
Text Classification (F32)
|
100% |
340
134.3 IPS |
|
|
Text Classification (F16)
|
100% |
341
134.8 IPS |
|
|
Machine Translation (F32)
|
100% |
532
82.1 IPS |
|
|
Machine Translation (F16)
|
100% |
537
82.7 IPS |
