Xiaomi 13
Geekbench ML Score
1098
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 02:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 10.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
528
98.8 IPS |
|
|
Image Classification (F16)
|
100% |
533
99.7 IPS |
|
|
Image Classification (I8)
|
97% |
886
165.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
703
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
699
11.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
772
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1298
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
1277
1.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
5227
6.33 IPS |
|
|
Object Detection (F32)
|
100% |
567
42.3 IPS |
|
|
Object Detection (F16)
|
100% |
567
42.4 IPS |
|
|
Object Detection (I8)
|
61% |
1184
88.4 IPS |
|
|
Face Detection (F32)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (I8)
|
86% |
2056
24.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1267
9.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
1250
9.69 IPS |
|
|
Depth Estimation (I8)
|
95% |
2357
18.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2287
3.01 IPS |
|
|
Style Transfer (F16)
|
100% |
2222
2.92 IPS |
|
|
Style Transfer (I8)
|
98% |
5601
7.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
846
30.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
868
31.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2074
74.1 IPS |
|
|
Text Classification (F32)
|
100% |
630
905.2 IPS |
|
|
Text Classification (F16)
|
100% |
583
838.5 IPS |
|
|
Text Classification (I8)
|
92% |
438
630.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (I8)
|
64% |
450
8.28 IPS |
