Xiaomi 2106118C
Geekbench ML Score
532
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 01 2024 10:18 AM |
| Views | 1 |
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
86.7 IPS |
|
|
Image Classification (F16)
|
100% |
995
186.2 IPS |
|
|
Image Classification (I8)
|
94% |
17
3.22 IPS |
|
|
Image Segmentation (F32)
|
100% |
658
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
476
7.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
1437
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
5181
6.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
1388
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
376
28.1 IPS |
|
|
Object Detection (F16)
|
100% |
532
39.7 IPS |
|
|
Object Detection (I8)
|
0% |
1652
123.3 IPS |
|
|
Face Detection (F32)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (F16)
|
97% |
1867
22.2 IPS |
|
|
Face Detection (I8)
|
86% |
992
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
462
3.58 IPS |
|
|
Depth Estimation (F16)
|
100% |
646
5.01 IPS |
|
|
Depth Estimation (I8)
|
74% |
7250
56.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1676
2.21 IPS |
|
|
Style Transfer (F16)
|
100% |
2190
2.88 IPS |
|
|
Style Transfer (I8)
|
19% |
559
0.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
760
27.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2142
76.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
266
9.49 IPS |
|
|
Text Classification (F32)
|
100% |
4
5.97 IPS |
|
|
Text Classification (F16)
|
100% |
77
110.3 IPS |
|
|
Text Classification (I8)
|
94% |
24
34.2 IPS |
|
|
Machine Translation (F32)
|
100% |
117
2.16 IPS |
|
|
Machine Translation (F16)
|
100% |
403
7.42 IPS |
|
|
Machine Translation (I8)
|
64% |
452
8.33 IPS |
