Xiaomi A301XM
Geekbench ML Score
2162
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 07 2024 01:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi A301XM |
| Model ID | Xiaomi A301XM |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
708
132.6 IPS |
|
|
Image Classification (F16)
|
100% |
2541
475.4 IPS |
|
|
Image Classification (I8)
|
97% |
6371
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
368
6.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
2472
41.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1187
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2821
3.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
7889
9.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
31748
38.4 IPS |
|
|
Object Detection (F32)
|
100% |
502
37.4 IPS |
|
|
Object Detection (F16)
|
100% |
2010
150.0 IPS |
|
|
Object Detection (I8)
|
64% |
2924
218.3 IPS |
|
|
Face Detection (F32)
|
25% |
1558
18.5 IPS |
|
|
Face Detection (F16)
|
97% |
6955
82.7 IPS |
|
|
Face Detection (I8)
|
86% |
10194
121.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
857
6.64 IPS |
|
|
Depth Estimation (F16)
|
100% |
9864
76.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
28193
218.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1985
2.61 IPS |
|
|
Style Transfer (F16)
|
100% |
2398
3.15 IPS |
|
|
Style Transfer (I8)
|
31% |
4720
6.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1224
43.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5424
193.7 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
17052
609.0 IPS |
|
|
Text Classification (F32)
|
100% |
103
148.3 IPS |
|
|
Text Classification (F16)
|
100% |
1162
1.67 KIPS |
|
|
Text Classification (I8)
|
92% |
891
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
326
6.00 IPS |
|
|
Machine Translation (F16)
|
100% |
436
8.03 IPS |
|
|
Machine Translation (I8)
|
76% |
426
7.84 IPS |
