Xiaomi 13
Geekbench ML Score
919
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 20 2024 02:05 PM |
| 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 | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
399
74.7 IPS |
|
|
Image Classification (F16)
|
100% |
400
74.8 IPS |
|
|
Image Classification (I8)
|
97% |
762
142.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
556
9.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
594
9.93 IPS |
|
|
Image Segmentation (I8)
|
98% |
671
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1126
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1113
1.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
4737
5.74 IPS |
|
|
Object Detection (F32)
|
100% |
453
33.8 IPS |
|
|
Object Detection (F16)
|
100% |
451
33.7 IPS |
|
|
Object Detection (I8)
|
61% |
1087
81.1 IPS |
|
|
Face Detection (F32)
|
100% |
994
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
939
11.2 IPS |
|
|
Face Detection (I8)
|
86% |
1696
20.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1020
7.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
954
7.40 IPS |
|
|
Depth Estimation (I8)
|
95% |
1804
14.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1966
2.59 IPS |
|
|
Style Transfer (F16)
|
100% |
1964
2.58 IPS |
|
|
Style Transfer (I8)
|
98% |
5337
7.02 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
653
23.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
632
22.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2090
74.6 IPS |
|
|
Text Classification (F32)
|
100% |
494
710.4 IPS |
|
|
Text Classification (F16)
|
100% |
535
769.5 IPS |
|
|
Text Classification (I8)
|
92% |
434
624.3 IPS |
|
|
Machine Translation (F32)
|
100% |
898
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (I8)
|
64% |
413
7.60 IPS |
