Xiaomi 24018RPACC
Geekbench ML Score
598
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 16 2024 02:33 AM |
| Views | 1 |
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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
297
55.6 IPS |
|
|
Image Classification (F16)
|
100% |
290
54.3 IPS |
|
|
Image Classification (I8)
|
97% |
717
134.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
347
5.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
343
5.73 IPS |
|
|
Image Segmentation (I8)
|
98% |
723
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
474
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
466
0.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
1903
2.30 IPS |
|
|
Object Detection (F32)
|
100% |
300
22.4 IPS |
|
|
Object Detection (F16)
|
100% |
300
22.4 IPS |
|
|
Object Detection (I8)
|
61% |
822
61.4 IPS |
|
|
Face Detection (F32)
|
100% |
684
8.14 IPS |
|
|
Face Detection (F16)
|
100% |
655
7.79 IPS |
|
|
Face Detection (I8)
|
86% |
1248
14.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
600
4.65 IPS |
|
|
Depth Estimation (F16)
|
100% |
587
4.55 IPS |
|
|
Depth Estimation (I8)
|
95% |
1384
10.7 IPS |
|
|
Style Transfer (F32)
|
100% |
888
1.17 IPS |
|
|
Style Transfer (F16)
|
100% |
827
1.09 IPS |
|
|
Style Transfer (I8)
|
98% |
2109
2.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
336
12.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
328
11.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1220
43.6 IPS |
|
|
Text Classification (F32)
|
100% |
385
553.7 IPS |
|
|
Text Classification (F16)
|
100% |
405
581.8 IPS |
|
|
Text Classification (I8)
|
92% |
577
829.5 IPS |
|
|
Machine Translation (F32)
|
100% |
671
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
584
10.7 IPS |
|
|
Machine Translation (I8)
|
64% |
614
11.3 IPS |
