Xiaomi 22101320G
Geekbench ML Score
473
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 07 2024 01:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22101320G |
| Model ID | Xiaomi 22101320G |
| Motherboard | redwood |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM redwood |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
222
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
227
42.4 IPS |
|
|
Image Classification (I8)
|
97% |
511
95.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
317
5.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
315
5.27 IPS |
|
|
Image Segmentation (I8)
|
98% |
467
7.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
488
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
482
0.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
2325
2.82 IPS |
|
|
Object Detection (F32)
|
100% |
240
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
243
18.2 IPS |
|
|
Object Detection (I8)
|
61% |
622
46.4 IPS |
|
|
Face Detection (F32)
|
100% |
471
5.60 IPS |
|
|
Face Detection (F16)
|
100% |
471
5.60 IPS |
|
|
Face Detection (I8)
|
86% |
1193
14.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
480
3.72 IPS |
|
|
Depth Estimation (F16)
|
100% |
490
3.80 IPS |
|
|
Depth Estimation (I8)
|
95% |
1118
8.67 IPS |
|
|
Style Transfer (F32)
|
100% |
845
1.11 IPS |
|
|
Style Transfer (F16)
|
100% |
849
1.12 IPS |
|
|
Style Transfer (I8)
|
98% |
1993
2.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
290
10.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
273
9.75 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
891
31.8 IPS |
|
|
Text Classification (F32)
|
100% |
259
371.6 IPS |
|
|
Text Classification (F16)
|
100% |
252
361.7 IPS |
|
|
Text Classification (I8)
|
92% |
248
357.0 IPS |
|
|
Machine Translation (F32)
|
100% |
521
9.59 IPS |
|
|
Machine Translation (F16)
|
100% |
556
10.2 IPS |
|
|
Machine Translation (I8)
|
64% |
237
4.37 IPS |
