Xiaomi 2210132C
Geekbench ML Score
868
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 04:51 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
443
83.0 IPS |
|
|
Image Classification (F16)
|
100% |
436
81.6 IPS |
|
|
Image Classification (I8)
|
97% |
652
122.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
8.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
588
9.83 IPS |
|
|
Image Segmentation (I8)
|
98% |
696
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1127
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1050
1.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
4558
5.52 IPS |
|
|
Object Detection (F32)
|
100% |
468
35.0 IPS |
|
|
Object Detection (F16)
|
100% |
494
36.9 IPS |
|
|
Object Detection (I8)
|
61% |
1040
77.6 IPS |
|
|
Face Detection (F32)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1022
12.2 IPS |
|
|
Face Detection (I8)
|
86% |
1733
20.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1048
8.13 IPS |
|
|
Depth Estimation (F16)
|
100% |
971
7.53 IPS |
|
|
Depth Estimation (I8)
|
95% |
1788
13.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1845
2.43 IPS |
|
|
Style Transfer (F16)
|
100% |
1882
2.48 IPS |
|
|
Style Transfer (I8)
|
98% |
4368
5.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
607
21.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
606
21.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1546
55.2 IPS |
|
|
Text Classification (F32)
|
100% |
440
632.2 IPS |
|
|
Text Classification (F16)
|
100% |
427
613.1 IPS |
|
|
Text Classification (I8)
|
92% |
288
414.1 IPS |
|
|
Machine Translation (F32)
|
100% |
888
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
64% |
351
6.46 IPS |
