Xiaomi 2106118C
Geekbench ML Score
661
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 30 2024 10:40 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
292
54.7 IPS |
|
|
Image Classification (F16)
|
100% |
300
56.1 IPS |
|
|
Image Classification (I8)
|
97% |
672
125.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
402
6.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
393
6.57 IPS |
|
|
Image Segmentation (I8)
|
98% |
557
9.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
709
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
695
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
3268
3.96 IPS |
|
|
Object Detection (F32)
|
100% |
327
24.4 IPS |
|
|
Object Detection (F16)
|
100% |
327
24.4 IPS |
|
|
Object Detection (I8)
|
61% |
860
64.2 IPS |
|
|
Face Detection (F32)
|
100% |
690
8.20 IPS |
|
|
Face Detection (F16)
|
100% |
673
8.00 IPS |
|
|
Face Detection (I8)
|
86% |
1636
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
713
5.53 IPS |
|
|
Depth Estimation (F16)
|
100% |
712
5.52 IPS |
|
|
Depth Estimation (I8)
|
95% |
1662
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1371
1.80 IPS |
|
|
Style Transfer (F16)
|
100% |
1351
1.78 IPS |
|
|
Style Transfer (I8)
|
98% |
2567
3.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
442
15.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
434
15.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1371
49.0 IPS |
|
|
Text Classification (F32)
|
100% |
381
547.2 IPS |
|
|
Text Classification (F16)
|
100% |
377
542.4 IPS |
|
|
Text Classification (I8)
|
92% |
252
361.8 IPS |
|
|
Machine Translation (F32)
|
100% |
764
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
777
14.3 IPS |
|
|
Machine Translation (I8)
|
64% |
310
5.70 IPS |
