Xiaomi 13
Geekbench ML Score
506
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 06:54 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
230
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
230
43.0 IPS |
|
|
Image Classification (I8)
|
97% |
530
99.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
287
4.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
286
4.78 IPS |
|
|
Image Segmentation (I8)
|
98% |
547
9.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
411
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
413
0.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
1542
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
240
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
241
18.0 IPS |
|
|
Object Detection (I8)
|
61% |
606
45.3 IPS |
|
|
Face Detection (F32)
|
100% |
579
6.88 IPS |
|
|
Face Detection (F16)
|
100% |
579
6.89 IPS |
|
|
Face Detection (I8)
|
86% |
1161
13.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
512
3.97 IPS |
|
|
Depth Estimation (F16)
|
100% |
512
3.97 IPS |
|
|
Depth Estimation (I8)
|
95% |
1366
10.6 IPS |
|
|
Style Transfer (F32)
|
100% |
832
1.09 IPS |
|
|
Style Transfer (F16)
|
100% |
832
1.09 IPS |
|
|
Style Transfer (I8)
|
98% |
2163
2.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
279
9.96 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
280
10.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
957
34.2 IPS |
|
|
Text Classification (F32)
|
100% |
312
448.1 IPS |
|
|
Text Classification (F16)
|
100% |
313
450.0 IPS |
|
|
Text Classification (I8)
|
92% |
451
648.5 IPS |
|
|
Machine Translation (F32)
|
100% |
552
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
555
10.2 IPS |
|
|
Machine Translation (I8)
|
64% |
548
10.1 IPS |
