Xiaomi 13
Geekbench ML Score
1063
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 08:10 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% |
519
97.1 IPS |
|
|
Image Classification (F16)
|
100% |
521
97.5 IPS |
|
|
Image Classification (I8)
|
97% |
863
161.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
702
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
690
11.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
786
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1266
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1249
1.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
5078
6.15 IPS |
|
|
Object Detection (F32)
|
100% |
569
42.5 IPS |
|
|
Object Detection (F16)
|
100% |
571
42.6 IPS |
|
|
Object Detection (I8)
|
61% |
1139
85.1 IPS |
|
|
Face Detection (F32)
|
100% |
1167
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (I8)
|
86% |
2057
24.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1211
9.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
1206
9.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
2442
18.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2215
2.91 IPS |
|
|
Style Transfer (F16)
|
100% |
2221
2.92 IPS |
|
|
Style Transfer (I8)
|
98% |
5505
7.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
785
28.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
763
27.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1887
67.4 IPS |
|
|
Text Classification (F32)
|
100% |
544
781.4 IPS |
|
|
Text Classification (F16)
|
100% |
562
807.1 IPS |
|
|
Text Classification (I8)
|
92% |
433
622.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1212
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1128
20.8 IPS |
|
|
Machine Translation (I8)
|
64% |
433
7.97 IPS |
