Xiaomi 13
Geekbench ML Score
1029
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 09:13 AM |
| Views | 1 |
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% |
513
96.1 IPS |
|
|
Image Classification (F16)
|
100% |
521
97.5 IPS |
|
|
Image Classification (I8)
|
97% |
865
161.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
688
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
685
11.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
807
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1162
1.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1258
1.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
5121
6.20 IPS |
|
|
Object Detection (F32)
|
100% |
363
27.1 IPS |
|
|
Object Detection (F16)
|
100% |
558
41.7 IPS |
|
|
Object Detection (I8)
|
61% |
1126
84.1 IPS |
|
|
Face Detection (F32)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (F16)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (I8)
|
86% |
1949
23.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1237
9.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
1228
9.52 IPS |
|
|
Depth Estimation (I8)
|
95% |
2397
18.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2201
2.89 IPS |
|
|
Style Transfer (F16)
|
100% |
2262
2.97 IPS |
|
|
Style Transfer (I8)
|
98% |
5721
7.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
791
28.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
555
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1376
49.1 IPS |
|
|
Text Classification (F32)
|
100% |
576
827.4 IPS |
|
|
Text Classification (F16)
|
100% |
592
850.9 IPS |
|
|
Text Classification (I8)
|
92% |
421
604.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1200
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1207
22.2 IPS |
|
|
Machine Translation (I8)
|
64% |
452
8.32 IPS |
