Xiaomi M2012K11AC
Geekbench ML Score
1376
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Yandex |
| Upload Date | December 10 2023 04:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi M2012K11AC |
| Model ID | Xiaomi M2012K11AC |
| 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 | 11.42 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1003
107.5 IPS |
|
|
Image Classification (F16)
|
100% |
1571
168.3 IPS |
|
|
Image Classification (I8)
|
80% |
1399
149.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2509
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4096
25.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
3970
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1307
5.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
2248
9.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
2231
9.03 IPS |
|
|
Object Detection (F32)
|
100% |
713
25.0 IPS |
|
|
Object Detection (F16)
|
99% |
903
31.7 IPS |
|
|
Object Detection (I8)
|
53% |
720
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1845
21.2 IPS |
|
|
Face Detection (F16)
|
97% |
3086
35.5 IPS |
|
|
Face Detection (I8)
|
76% |
2813
32.3 IPS |
|
|
Text Classification (F32)
|
100% |
510
201.6 IPS |
|
|
Text Classification (F16)
|
98% |
553
218.6 IPS |
|
|
Machine Translation (F32)
|
100% |
593
91.3 IPS |
|
|
Machine Translation (F16)
|
100% |
595
91.7 IPS |
