Xiaomi Redmi 8A
Geekbench ML Score
89
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Xiaomi Redmi 8A |
| Model ID | Xiaomi Redmi 8A |
| Motherboard | QC_Reference_Phone |
| Governor | schedutil |
| 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 | 4 Cores @ 1.46 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
58
6.21 IPS |
|
|
Image Classification (F16)
|
100% |
60
6.48 IPS |
|
|
Image Classification (I8)
|
81% |
236
25.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
110
0.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
374
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
61
0.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
101
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
83
2.91 IPS |
|
|
Object Detection (F16)
|
100% |
83
2.92 IPS |
|
|
Object Detection (I8)
|
52% |
176
6.17 IPS |
|
|
Face Detection (F32)
|
100% |
122
1.40 IPS |
|
|
Face Detection (F16)
|
100% |
123
1.41 IPS |
|
|
Face Detection (I8)
|
75% |
302
3.47 IPS |
|
|
Text Classification (F32)
|
100% |
70
27.5 IPS |
|
|
Text Classification (F16)
|
100% |
69
27.3 IPS |
|
|
Machine Translation (F32)
|
100% |
18
2.77 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.78 IPS |
