Xiaomi 13
Geekbench ML Score
1083
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 04 2024 07:17 AM |
| Views | 1 |
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 | 7.04 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
537
100.6 IPS |
|
|
Image Classification (F16)
|
100% |
538
100.7 IPS |
|
|
Image Classification (I8)
|
97% |
860
161.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
708
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
681
11.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
762
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1249
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
1239
1.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
5052
6.12 IPS |
|
|
Object Detection (F32)
|
100% |
544
40.6 IPS |
|
|
Object Detection (F16)
|
100% |
558
41.6 IPS |
|
|
Object Detection (I8)
|
61% |
1204
89.9 IPS |
|
|
Face Detection (F32)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (I8)
|
86% |
2037
24.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1266
9.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
1243
9.64 IPS |
|
|
Depth Estimation (I8)
|
95% |
2181
16.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2315
3.05 IPS |
|
|
Style Transfer (F16)
|
100% |
2317
3.05 IPS |
|
|
Style Transfer (I8)
|
98% |
4704
6.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
880
31.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
871
31.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2081
74.3 IPS |
|
|
Text Classification (F32)
|
100% |
605
869.3 IPS |
|
|
Text Classification (F16)
|
100% |
602
864.8 IPS |
|
|
Text Classification (I8)
|
92% |
466
669.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (I8)
|
64% |
418
7.69 IPS |
