Xiaomi 22101320I
Geekbench ML Score
424
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 12:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22101320I |
| Model ID | Xiaomi 22101320I |
| Motherboard | redwoodin |
| 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% |
222
41.5 IPS |
|
|
Image Classification (F16)
|
100% |
210
39.4 IPS |
|
|
Image Classification (I8)
|
97% |
383
71.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
290
4.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
284
4.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
381
6.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
429
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
439
0.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
1843
2.23 IPS |
|
|
Object Detection (F32)
|
100% |
222
16.6 IPS |
|
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
|
Object Detection (I8)
|
61% |
548
40.9 IPS |
|
|
Face Detection (F32)
|
100% |
469
5.57 IPS |
|
|
Face Detection (F16)
|
100% |
457
5.43 IPS |
|
|
Face Detection (I8)
|
86% |
940
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
470
3.65 IPS |
|
|
Depth Estimation (F16)
|
100% |
461
3.57 IPS |
|
|
Depth Estimation (I8)
|
95% |
994
7.71 IPS |
|
|
Style Transfer (F32)
|
100% |
807
1.06 IPS |
|
|
Style Transfer (F16)
|
100% |
805
1.06 IPS |
|
|
Style Transfer (I8)
|
98% |
1834
2.41 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
258
9.23 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
248
8.84 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
738
26.4 IPS |
|
|
Text Classification (F32)
|
100% |
210
301.4 IPS |
|
|
Text Classification (F16)
|
100% |
231
332.0 IPS |
|
|
Text Classification (I8)
|
92% |
185
266.3 IPS |
|
|
Machine Translation (F32)
|
100% |
509
9.36 IPS |
|
|
Machine Translation (F16)
|
100% |
509
9.36 IPS |
|
|
Machine Translation (I8)
|
64% |
224
4.12 IPS |
