Xiaomi 13
Geekbench ML Score
1096
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 04 2024 07:46 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% |
530
99.2 IPS |
|
|
Image Classification (F16)
|
100% |
535
100.0 IPS |
|
|
Image Classification (I8)
|
97% |
894
167.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
700
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
697
11.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
778
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1254
1.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
1249
1.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
5224
6.33 IPS |
|
|
Object Detection (F32)
|
100% |
552
41.2 IPS |
|
|
Object Detection (F16)
|
100% |
559
41.7 IPS |
|
|
Object Detection (I8)
|
61% |
1172
87.5 IPS |
|
|
Face Detection (F32)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1177
14.0 IPS |
|
|
Face Detection (I8)
|
86% |
1987
23.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1277
9.90 IPS |
|
|
Depth Estimation (F16)
|
100% |
1268
9.84 IPS |
|
|
Depth Estimation (I8)
|
95% |
2338
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2360
3.10 IPS |
|
|
Style Transfer (F16)
|
100% |
2338
3.08 IPS |
|
|
Style Transfer (I8)
|
98% |
4934
6.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
843
30.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
892
31.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2218
79.2 IPS |
|
|
Text Classification (F32)
|
100% |
611
878.3 IPS |
|
|
Text Classification (F16)
|
100% |
618
888.0 IPS |
|
|
Text Classification (I8)
|
92% |
453
651.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1295
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1294
23.8 IPS |
|
|
Machine Translation (I8)
|
64% |
427
7.86 IPS |
