Xiaomi 2201122C
Geekbench ML Score
282
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 21 2024 04:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2201122C |
| Model ID | Xiaomi 2201122C |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
120
22.5 IPS |
|
|
Image Classification (F16)
|
100% |
121
22.6 IPS |
|
|
Image Classification (I8)
|
97% |
319
59.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
154
2.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
155
2.59 IPS |
|
|
Image Segmentation (I8)
|
98% |
336
5.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
214
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
213
0.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
803
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
127
9.46 IPS |
|
|
Object Detection (F16)
|
100% |
127
9.44 IPS |
|
|
Object Detection (I8)
|
61% |
360
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
322
3.83 IPS |
|
|
Face Detection (F16)
|
100% |
322
3.83 IPS |
|
|
Face Detection (I8)
|
86% |
712
8.46 IPS |
|
|
Depth Estimation (F32)
|
100% |
281
2.18 IPS |
|
|
Depth Estimation (F16)
|
100% |
280
2.17 IPS |
|
|
Depth Estimation (I8)
|
95% |
802
6.22 IPS |
|
|
Style Transfer (F32)
|
100% |
488
0.64 IPS |
|
|
Style Transfer (F16)
|
100% |
489
0.64 IPS |
|
|
Style Transfer (I8)
|
98% |
1312
1.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
144
5.14 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
144
5.13 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
506
18.1 IPS |
|
|
Text Classification (F32)
|
100% |
165
237.5 IPS |
|
|
Text Classification (F16)
|
100% |
166
237.9 IPS |
|
|
Text Classification (I8)
|
92% |
296
426.1 IPS |
|
|
Machine Translation (F32)
|
100% |
299
5.50 IPS |
|
|
Machine Translation (F16)
|
100% |
300
5.53 IPS |
|
|
Machine Translation (I8)
|
64% |
367
6.75 IPS |
