Xiaomi 2106118C
Geekbench AI Score
251
Single Precision Score
339
Half Precision Score
48
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 15 2024 04:45 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Odin |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
447
83.1 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.2 IPS |
|
|
Image Classification (Q)
|
94% |
17
3.21 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
86
1.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1476
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5314
6.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
252
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
2% |
6
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (Q)
|
97% |
219
2.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
167
1.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
74
0.57 IPS |
|
|
Depth Estimation (Q)
|
5% |
31
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
643
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
134
0.17 IPS |
|
|
Style Transfer (Q)
|
18% |
9
0.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
716
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2030
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
255
9.44 IPS |
|
|
Text Classification (SP)
|
100% |
1
1.63 IPS |
|
|
Text Classification (HP)
|
100% |
54
71.9 IPS |
|
|
Text Classification (Q)
|
93% |
25
33.6 IPS |
|
|
Machine Translation (SP)
|
100% |
76
1.31 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
76
1.86 IPS |
