Xiaomi M2012K11AG
Geekbench ML Score
361
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 10:38 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
304
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.8 IPS |
|
|
Image Classification (I8)
|
81% |
199
21.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
528
3.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
3.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
741
4.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
353
12.4 IPS |
|
|
Object Detection (F16)
|
100% |
326
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
284
9.96 IPS |
|
|
Face Detection (F32)
|
100% |
549
6.31 IPS |
|
|
Face Detection (F16)
|
100% |
544
6.25 IPS |
|
|
Face Detection (I8)
|
75% |
464
5.33 IPS |
|
|
Text Classification (F32)
|
100% |
317
125.5 IPS |
|
|
Text Classification (F16)
|
100% |
329
130.3 IPS |
|
|
Machine Translation (F32)
|
100% |
458
70.6 IPS |
|
|
Machine Translation (F16)
|
100% |
457
70.5 IPS |
