Xiaomi 13
Geekbench ML Score
975
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | December 01 2024 05:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
414
77.4 IPS |
|
|
Image Classification (F16)
|
100% |
474
88.6 IPS |
|
|
Image Classification (I8)
|
97% |
857
160.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
645
10.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
800
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1162
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1172
1.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
4786
5.80 IPS |
|
|
Object Detection (F32)
|
100% |
526
39.3 IPS |
|
|
Object Detection (F16)
|
100% |
559
41.7 IPS |
|
|
Object Detection (I8)
|
61% |
1141
85.2 IPS |
|
|
Face Detection (F32)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (I8)
|
86% |
1682
20.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1203
9.33 IPS |
|
|
Depth Estimation (F16)
|
100% |
1177
9.13 IPS |
|
|
Depth Estimation (I8)
|
95% |
1941
15.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2027
2.67 IPS |
|
|
Style Transfer (F16)
|
100% |
2037
2.68 IPS |
|
|
Style Transfer (I8)
|
98% |
3571
4.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
662
23.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
681
24.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1782
63.7 IPS |
|
|
Text Classification (F32)
|
100% |
512
735.1 IPS |
|
|
Text Classification (F16)
|
100% |
530
761.2 IPS |
|
|
Text Classification (I8)
|
92% |
381
547.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1192
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
64% |
434
7.98 IPS |
