Xiaomi 13
Geekbench ML Score
1100
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 02:31 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% |
533
99.7 IPS |
|
|
Image Classification (F16)
|
100% |
534
100.0 IPS |
|
|
Image Classification (I8)
|
97% |
881
164.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
699
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
705
11.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
752
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1293
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
1282
1.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
5236
6.34 IPS |
|
|
Object Detection (F32)
|
100% |
561
41.9 IPS |
|
|
Object Detection (F16)
|
100% |
560
41.8 IPS |
|
|
Object Detection (I8)
|
61% |
1158
86.4 IPS |
|
|
Face Detection (F32)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (I8)
|
86% |
2067
24.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1261
9.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
1249
9.69 IPS |
|
|
Depth Estimation (I8)
|
95% |
2317
18.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2296
3.02 IPS |
|
|
Style Transfer (F16)
|
100% |
2294
3.02 IPS |
|
|
Style Transfer (I8)
|
98% |
5516
7.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
858
30.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
867
31.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2143
76.5 IPS |
|
|
Text Classification (F32)
|
100% |
626
900.1 IPS |
|
|
Text Classification (F16)
|
100% |
611
877.6 IPS |
|
|
Text Classification (I8)
|
92% |
449
644.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1250
23.0 IPS |
|
|
Machine Translation (I8)
|
64% |
443
8.15 IPS |
