Xiaomi 24018RPACC
Geekbench ML Score
900
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 19 2024 08:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
430
80.5 IPS |
|
|
Image Classification (F16)
|
100% |
374
69.9 IPS |
|
|
Image Classification (I8)
|
97% |
779
145.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
535
8.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
606
10.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
772
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
988
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
976
1.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
4099
4.96 IPS |
|
|
Object Detection (F32)
|
100% |
471
35.2 IPS |
|
|
Object Detection (F16)
|
100% |
483
36.0 IPS |
|
|
Object Detection (I8)
|
61% |
1046
78.1 IPS |
|
|
Face Detection (F32)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (F16)
|
100% |
975
11.6 IPS |
|
|
Face Detection (I8)
|
86% |
1632
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
936
7.26 IPS |
|
|
Depth Estimation (F16)
|
100% |
959
7.43 IPS |
|
|
Depth Estimation (I8)
|
95% |
1913
14.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1776
2.34 IPS |
|
|
Style Transfer (F16)
|
100% |
1794
2.36 IPS |
|
|
Style Transfer (I8)
|
98% |
3924
5.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
594
21.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
624
22.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2003
71.5 IPS |
|
|
Text Classification (F32)
|
100% |
611
877.5 IPS |
|
|
Text Classification (F16)
|
100% |
569
818.1 IPS |
|
|
Text Classification (I8)
|
92% |
426
611.9 IPS |
|
|
Machine Translation (F32)
|
100% |
915
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
874
16.1 IPS |
|
|
Machine Translation (I8)
|
64% |
456
8.40 IPS |
