Xiaomi M2012K11AG
Geekbench ML Score
1454
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 05:56 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1133
121.4 IPS |
|
|
Image Classification (F16)
|
100% |
1837
196.8 IPS |
|
|
Image Classification (I8)
|
80% |
1586
169.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2683
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
4554
28.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
4532
28.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1344
5.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
2323
9.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
2305
9.33 IPS |
|
|
Object Detection (F32)
|
100% |
573
20.1 IPS |
|
|
Object Detection (F16)
|
99% |
765
26.8 IPS |
|
|
Object Detection (I8)
|
53% |
848
29.8 IPS |
|
|
Face Detection (F32)
|
100% |
2022
23.2 IPS |
|
|
Face Detection (F16)
|
97% |
3552
40.8 IPS |
|
|
Face Detection (I8)
|
76% |
3071
35.3 IPS |
|
|
Text Classification (F32)
|
100% |
562
222.2 IPS |
|
|
Text Classification (F16)
|
98% |
599
237.0 IPS |
|
|
Machine Translation (F32)
|
100% |
582
89.8 IPS |
|
|
Machine Translation (F16)
|
100% |
587
90.4 IPS |
