Xiaomi M2012K11AG
Geekbench ML Score
353
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 02:05 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
290
31.1 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.9 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
520
3.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
534
3.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
711
4.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
194
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
366
12.8 IPS |
|
|
Object Detection (F16)
|
100% |
311
10.9 IPS |
|
|
Object Detection (I8)
|
52% |
265
9.30 IPS |
|
|
Face Detection (F32)
|
100% |
519
5.97 IPS |
|
|
Face Detection (F16)
|
100% |
524
6.02 IPS |
|
|
Face Detection (I8)
|
75% |
429
4.93 IPS |
|
|
Text Classification (F32)
|
100% |
323
127.6 IPS |
|
|
Text Classification (F16)
|
100% |
331
131.1 IPS |
|
|
Machine Translation (F32)
|
100% |
482
74.2 IPS |
|
|
Machine Translation (F16)
|
100% |
489
75.3 IPS |
