Xiaomi M2012K11AG
Geekbench ML Score
373
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 07:27 PM |
| Views | 2 |
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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
307
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
237
25.4 IPS |
|
|
Image Classification (I8)
|
81% |
205
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
553
3.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
549
3.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
756
4.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
258
1.04 IPS |
|
|
Pose Estimation (I8)
|
80% |
226
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
345
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
331
11.6 IPS |
|
|
Object Detection (I8)
|
52% |
285
9.99 IPS |
|
|
Face Detection (F32)
|
100% |
539
6.19 IPS |
|
|
Face Detection (F16)
|
100% |
577
6.63 IPS |
|
|
Face Detection (I8)
|
75% |
476
5.47 IPS |
|
|
Text Classification (F32)
|
100% |
336
132.7 IPS |
|
|
Text Classification (F16)
|
100% |
331
130.8 IPS |
|
|
Machine Translation (F32)
|
100% |
534
82.2 IPS |
|
|
Machine Translation (F16)
|
100% |
532
82.0 IPS |
