Xiaomi 22101320G
Geekbench ML Score
430
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 01:28 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
229
42.9 IPS |
|
|
Image Classification (F16)
|
100% |
216
40.3 IPS |
|
|
Image Classification (I8)
|
97% |
449
84.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
287
4.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
288
4.80 IPS |
|
|
Image Segmentation (I8)
|
98% |
348
5.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
450
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
445
0.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
1934
2.34 IPS |
|
|
Object Detection (F32)
|
100% |
229
17.1 IPS |
|
|
Object Detection (F16)
|
100% |
226
16.9 IPS |
|
|
Object Detection (I8)
|
61% |
534
39.9 IPS |
|
|
Face Detection (F32)
|
100% |
478
5.68 IPS |
|
|
Face Detection (F16)
|
100% |
478
5.69 IPS |
|
|
Face Detection (I8)
|
86% |
1033
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
473
3.67 IPS |
|
|
Depth Estimation (F16)
|
100% |
478
3.70 IPS |
|
|
Depth Estimation (I8)
|
95% |
1016
7.88 IPS |
|
|
Style Transfer (F32)
|
100% |
798
1.05 IPS |
|
|
Style Transfer (F16)
|
100% |
788
1.04 IPS |
|
|
Style Transfer (I8)
|
98% |
1650
2.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
268
9.56 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
256
9.14 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
755
27.0 IPS |
|
|
Text Classification (F32)
|
100% |
241
346.3 IPS |
|
|
Text Classification (F16)
|
100% |
234
336.7 IPS |
|
|
Text Classification (I8)
|
92% |
198
283.9 IPS |
|
|
Machine Translation (F32)
|
100% |
513
9.44 IPS |
|
|
Machine Translation (F16)
|
100% |
511
9.41 IPS |
|
|
Machine Translation (I8)
|
64% |
181
3.33 IPS |
