Xiaomi 13
Geekbench ML Score
933
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 01:07 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 13 |
| Model ID | Xiaomi 2211133C |
| 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 | 7.03 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
492
92.1 IPS |
|
|
Image Classification (F16)
|
100% |
472
88.3 IPS |
|
|
Image Classification (I8)
|
97% |
737
137.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
623
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
680
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1158
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1173
1.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
4269
5.17 IPS |
|
|
Object Detection (F32)
|
100% |
506
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
503
37.6 IPS |
|
|
Object Detection (I8)
|
61% |
893
66.7 IPS |
|
|
Face Detection (F32)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (F16)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (I8)
|
86% |
1704
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1071
8.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
1086
8.42 IPS |
|
|
Depth Estimation (I8)
|
95% |
2010
15.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1963
2.58 IPS |
|
|
Style Transfer (F16)
|
100% |
1997
2.63 IPS |
|
|
Style Transfer (I8)
|
98% |
3655
4.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
674
24.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
671
24.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1873
66.9 IPS |
|
|
Text Classification (F32)
|
100% |
508
729.8 IPS |
|
|
Text Classification (F16)
|
100% |
514
739.4 IPS |
|
|
Text Classification (I8)
|
92% |
328
471.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1047
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (I8)
|
64% |
401
7.37 IPS |
