Xiaomi Redmi 8A
Geekbench ML Score
54
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 19 2023 03:01 AM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
44
4.73 IPS |
|
|
Image Classification (F16)
|
100% |
42
4.54 IPS |
|
|
Image Classification (I8)
|
81% |
62
6.69 IPS |
|
|
Image Segmentation (F32)
|
100% |
89
0.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
89
0.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
112
0.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
19
0.08 IPS |
|
|
Object Detection (F32)
|
100% |
59
2.07 IPS |
|
|
Object Detection (F16)
|
100% |
57
1.99 IPS |
|
|
Object Detection (I8)
|
52% |
77
2.69 IPS |
|
|
Face Detection (F32)
|
100% |
84
0.97 IPS |
|
|
Face Detection (F16)
|
100% |
84
0.97 IPS |
|
|
Face Detection (I8)
|
75% |
88
1.01 IPS |
|
|
Text Classification (F32)
|
100% |
84
33.2 IPS |
|
|
Text Classification (F16)
|
100% |
83
33.0 IPS |
|
|
Machine Translation (F32)
|
100% |
18
2.78 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.77 IPS |
