Xiaomi Mi A2 Lite
Geekbench ML Score
96
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2023 07:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Xiaomi Mi A2 Lite |
| Model ID | Xiaomi Mi A2 Lite |
| Motherboard | msm8953 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 8 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
69
7.38 IPS |
|
|
Image Classification (F16)
|
100% |
69
7.38 IPS |
|
|
Image Classification (I8)
|
81% |
286
30.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
122
0.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
122
0.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
530
3.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
63
0.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
59
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
115
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
88
3.08 IPS |
|
|
Object Detection (F16)
|
100% |
92
3.22 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.67 IPS |
|
|
Face Detection (F32)
|
100% |
131
1.50 IPS |
|
|
Face Detection (F16)
|
100% |
125
1.44 IPS |
|
|
Face Detection (I8)
|
75% |
379
4.35 IPS |
|
|
Text Classification (F32)
|
100% |
60
23.8 IPS |
|
|
Text Classification (F16)
|
100% |
64
25.2 IPS |
|
|
Machine Translation (F32)
|
100% |
16
2.45 IPS |
|
|
Machine Translation (F16)
|
100% |
16
2.45 IPS |
