Xiaomi 24069PC21G
Geekbench ML Score
719
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 25 2024 10:28 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24069PC21G |
| Model ID | Xiaomi 24069PC21G |
| Motherboard | peridot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
394
73.7 IPS |
|
|
Image Classification (F16)
|
100% |
388
72.5 IPS |
|
|
Image Classification (I8)
|
97% |
589
110.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
447
7.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
448
7.49 IPS |
|
|
Image Segmentation (I8)
|
98% |
605
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
962
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
919
1.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
3936
4.77 IPS |
|
|
Object Detection (F32)
|
100% |
367
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
348
26.0 IPS |
|
|
Object Detection (I8)
|
61% |
534
39.8 IPS |
|
|
Face Detection (F32)
|
100% |
837
9.95 IPS |
|
|
Face Detection (F16)
|
100% |
829
9.86 IPS |
|
|
Face Detection (I8)
|
86% |
1093
13.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
873
6.77 IPS |
|
|
Depth Estimation (F16)
|
100% |
803
6.23 IPS |
|
|
Depth Estimation (I8)
|
95% |
1198
9.29 IPS |
|
|
Style Transfer (F32)
|
100% |
1619
2.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1590
2.09 IPS |
|
|
Style Transfer (I8)
|
98% |
3471
4.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
541
19.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
503
18.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1407
50.2 IPS |
|
|
Text Classification (F32)
|
100% |
416
597.7 IPS |
|
|
Text Classification (F16)
|
100% |
450
646.3 IPS |
|
|
Text Classification (I8)
|
92% |
284
407.6 IPS |
|
|
Machine Translation (F32)
|
100% |
779
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
826
15.2 IPS |
|
|
Machine Translation (I8)
|
64% |
270
4.97 IPS |
