Xiaomi 24018RPACC
Geekbench ML Score
945
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 16 2024 02:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 24018RPACC |
| Model ID | Xiaomi 24018RPACC |
| 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 | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
522
97.7 IPS |
|
|
Image Classification (F16)
|
100% |
505
94.4 IPS |
|
|
Image Classification (I8)
|
97% |
864
161.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
779
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1153
1.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1151
1.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
3991
4.83 IPS |
|
|
Object Detection (F32)
|
100% |
523
39.0 IPS |
|
|
Object Detection (F16)
|
100% |
489
36.5 IPS |
|
|
Object Detection (I8)
|
61% |
919
68.6 IPS |
|
|
Face Detection (F32)
|
100% |
1155
13.7 IPS |
|
|
Face Detection (F16)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
1619
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1120
8.68 IPS |
|
|
Depth Estimation (F16)
|
100% |
1085
8.41 IPS |
|
|
Depth Estimation (I8)
|
95% |
1894
14.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1896
2.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1942
2.55 IPS |
|
|
Style Transfer (I8)
|
98% |
3710
4.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
638
22.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
638
22.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1623
58.0 IPS |
|
|
Text Classification (F32)
|
100% |
505
725.3 IPS |
|
|
Text Classification (F16)
|
100% |
538
772.9 IPS |
|
|
Text Classification (I8)
|
92% |
362
520.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1141
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1047
19.3 IPS |
|
|
Machine Translation (I8)
|
64% |
391
7.20 IPS |
