Xiaomi M2101K6P
Geekbench ML Score
293
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 14 2021 06:45 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Xiaomi M2101K6P |
| Model ID | Xiaomi M2101K6P |
| Motherboard | sweetin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 5.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
301
32.3 IPS |
|
|
Image Classification (F16)
|
100% |
403
43.2 IPS |
|
|
Image Classification (I8)
|
80% |
662
70.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
421
2.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
526
3.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
1230
7.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
152
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
348
1.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
1237
5.01 IPS |
|
|
Object Detection (F32)
|
100% |
252
8.86 IPS |
|
|
Object Detection (F16)
|
100% |
314
11.0 IPS |
|
|
Object Detection (I8)
|
52% |
490
17.2 IPS |
|
|
Face Detection (F32)
|
100% |
381
4.38 IPS |
|
|
Face Detection (F16)
|
97% |
444
5.11 IPS |
|
|
Face Detection (I8)
|
75% |
1631
18.7 IPS |
|
|
Text Classification (F32)
|
54% |
11
4.17 IPS |
|
|
Text Classification (F16)
|
54% |
12
4.56 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
