Xiaomi 2106118C
Geekbench ML Score
494
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 01:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2106118C |
| Model ID | Xiaomi 2106118C |
| Motherboard | odin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Odin |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.05 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
464
86.8 IPS |
|
|
Image Classification (F16)
|
100% |
996
186.3 IPS |
|
|
Image Classification (I8)
|
94% |
17
3.23 IPS |
|
|
Image Segmentation (F32)
|
100% |
665
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
476
7.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
1436
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
5207
6.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
1391
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
340
25.4 IPS |
|
|
Object Detection (F16)
|
100% |
534
39.9 IPS |
|
|
Object Detection (I8)
|
0% |
1578
117.8 IPS |
|
|
Face Detection (F32)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (F16)
|
97% |
1899
22.6 IPS |
|
|
Face Detection (I8)
|
86% |
990
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
463
3.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
637
4.94 IPS |
|
|
Depth Estimation (I8)
|
74% |
7142
55.4 IPS |
|
|
Style Transfer (F32)
|
100% |
1641
2.16 IPS |
|
|
Style Transfer (F16)
|
100% |
2204
2.90 IPS |
|
|
Style Transfer (I8)
|
19% |
560
0.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
762
27.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2157
77.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
266
9.50 IPS |
|
|
Text Classification (F32)
|
100% |
1
1.52 IPS |
|
|
Text Classification (F16)
|
100% |
39
56.6 IPS |
|
|
Text Classification (I8)
|
94% |
24
34.4 IPS |
|
|
Machine Translation (F32)
|
100% |
117
2.15 IPS |
|
|
Machine Translation (F16)
|
100% |
402
7.41 IPS |
|
|
Machine Translation (I8)
|
64% |
452
8.33 IPS |
