Xiaomi 2106118C
Geekbench ML Score
518
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 01:04 PM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
324
60.6 IPS |
|
|
Image Classification (F16)
|
100% |
295
55.2 IPS |
|
|
Image Classification (I8)
|
97% |
283
52.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
494
8.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
583
9.74 IPS |
|
|
Image Segmentation (I8)
|
98% |
578
9.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
516
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
272
0.33 IPS |
|
|
Pose Estimation (I8)
|
100% |
277
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
191
14.2 IPS |
|
|
Object Detection (F16)
|
100% |
228
17.0 IPS |
|
|
Object Detection (I8)
|
62% |
196
14.7 IPS |
|
|
Face Detection (F32)
|
100% |
999
11.9 IPS |
|
|
Face Detection (F16)
|
97% |
1345
16.0 IPS |
|
|
Face Detection (I8)
|
87% |
1250
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
733
5.68 IPS |
|
|
Depth Estimation (F16)
|
100% |
915
7.09 IPS |
|
|
Depth Estimation (I8)
|
95% |
907
7.04 IPS |
|
|
Style Transfer (F32)
|
100% |
1518
2.00 IPS |
|
|
Style Transfer (F16)
|
100% |
2590
3.41 IPS |
|
|
Style Transfer (I8)
|
98% |
2430
3.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
373
13.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
568
20.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
563
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
241
346.7 IPS |
|
|
Text Classification (F16)
|
100% |
240
345.4 IPS |
|
|
Text Classification (I8)
|
92% |
390
561.2 IPS |
|
|
Machine Translation (F32)
|
100% |
403
7.41 IPS |
|
|
Machine Translation (F16)
|
100% |
403
7.42 IPS |
|
|
Machine Translation (I8)
|
64% |
441
8.12 IPS |
