Xiaomi 2106118C
Geekbench ML Score
633
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 06 2024 12:59 PM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
285
53.4 IPS |
|
|
Image Classification (F16)
|
100% |
285
53.4 IPS |
|
|
Image Classification (I8)
|
97% |
649
121.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
392
6.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
6.64 IPS |
|
|
Image Segmentation (I8)
|
98% |
545
9.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
672
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
646
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
3210
3.89 IPS |
|
|
Object Detection (F32)
|
100% |
316
23.6 IPS |
|
|
Object Detection (F16)
|
100% |
325
24.3 IPS |
|
|
Object Detection (I8)
|
61% |
833
62.2 IPS |
|
|
Face Detection (F32)
|
100% |
684
8.14 IPS |
|
|
Face Detection (F16)
|
100% |
680
8.08 IPS |
|
|
Face Detection (I8)
|
86% |
1628
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
690
5.35 IPS |
|
|
Depth Estimation (F16)
|
100% |
669
5.19 IPS |
|
|
Depth Estimation (I8)
|
95% |
1480
11.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1263
1.66 IPS |
|
|
Style Transfer (F16)
|
100% |
1306
1.72 IPS |
|
|
Style Transfer (I8)
|
98% |
2411
3.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
395
14.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
410
14.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1247
44.5 IPS |
|
|
Text Classification (F32)
|
100% |
355
509.5 IPS |
|
|
Text Classification (F16)
|
100% |
349
501.6 IPS |
|
|
Text Classification (I8)
|
92% |
261
375.5 IPS |
|
|
Machine Translation (F32)
|
100% |
715
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (I8)
|
64% |
311
5.73 IPS |
