Xiaomi 22101320G
Geekbench ML Score
320
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 01:23 PM |
| 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 | 7.02 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
194
36.2 IPS |
|
|
Image Classification (F16)
|
100% |
260
48.6 IPS |
|
|
Image Classification (I8)
|
97% |
241
45.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
240
4.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
328
5.47 IPS |
|
|
Image Segmentation (I8)
|
98% |
297
4.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
311
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
215
0.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
221
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
133
9.91 IPS |
|
|
Object Detection (F16)
|
100% |
151
11.3 IPS |
|
|
Object Detection (I8)
|
62% |
150
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
597
7.10 IPS |
|
|
Face Detection (F16)
|
97% |
823
9.79 IPS |
|
|
Face Detection (I8)
|
87% |
758
9.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
488
3.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
735
5.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
730
5.66 IPS |
|
|
Style Transfer (F32)
|
100% |
943
1.24 IPS |
|
|
Style Transfer (F16)
|
100% |
1611
2.12 IPS |
|
|
Style Transfer (I8)
|
98% |
1605
2.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
214
7.65 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
380
13.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
368
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
95
136.7 IPS |
|
|
Text Classification (F16)
|
100% |
95
136.6 IPS |
|
|
Text Classification (I8)
|
92% |
203
291.7 IPS |
|
|
Machine Translation (F32)
|
100% |
201
3.69 IPS |
|
|
Machine Translation (F16)
|
100% |
179
3.30 IPS |
|
|
Machine Translation (I8)
|
64% |
248
4.57 IPS |
