Xiaomi 2210132C
Geekbench ML Score
795
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 04:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2210132C |
| Model ID | Xiaomi 2210132C |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
483
90.4 IPS |
|
|
Image Classification (F16)
|
100% |
663
124.0 IPS |
|
|
Image Classification (I8)
|
99% |
545
101.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1208
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
957
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
647
0.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
1048
1.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
1050
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
357
26.7 IPS |
|
|
Object Detection (F16)
|
100% |
397
29.7 IPS |
|
|
Object Detection (I8)
|
62% |
282
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1771
21.1 IPS |
|
|
Face Detection (F16)
|
97% |
2745
32.6 IPS |
|
|
Face Detection (I8)
|
86% |
1659
19.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1130
8.76 IPS |
|
|
Depth Estimation (F16)
|
100% |
2198
17.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2152
16.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2563
3.37 IPS |
|
|
Style Transfer (F16)
|
100% |
6513
8.57 IPS |
|
|
Style Transfer (I8)
|
98% |
5458
7.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
274
9.80 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
216
7.71 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
215
7.69 IPS |
|
|
Text Classification (F32)
|
100% |
310
445.2 IPS |
|
|
Text Classification (F16)
|
100% |
307
441.7 IPS |
|
|
Text Classification (I8)
|
92% |
321
461.8 IPS |
|
|
Machine Translation (F32)
|
100% |
521
9.59 IPS |
|
|
Machine Translation (F16)
|
100% |
526
9.68 IPS |
|
|
Machine Translation (I8)
|
64% |
525
9.66 IPS |
