Xiaomi M2011K2G
Geekbench ML Score
420
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 14 2022 11:01 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi M2011K2G |
| Model ID | Xiaomi M2011K2G |
| Motherboard | venus |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Venus |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 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 @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.08 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
442
47.4 IPS |
|
|
Image Classification (F16)
|
100% |
351
37.6 IPS |
|
|
Image Classification (I8)
|
81% |
196
21.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
611
3.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
609
3.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
832
5.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
267
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
239
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
434
15.2 IPS |
|
|
Object Detection (F16)
|
100% |
413
14.5 IPS |
|
|
Object Detection (I8)
|
52% |
279
9.78 IPS |
|
|
Face Detection (F32)
|
100% |
600
6.89 IPS |
|
|
Face Detection (F16)
|
100% |
597
6.86 IPS |
|
|
Face Detection (I8)
|
75% |
484
5.56 IPS |
|
|
Text Classification (F32)
|
100% |
330
130.5 IPS |
|
|
Text Classification (F16)
|
100% |
326
129.0 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.2 IPS |
|
|
Machine Translation (F16)
|
100% |
699
107.7 IPS |
