sprd uis8581a2h10_Automotive
Geekbench ML Score
81
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2023 02:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | sprd uis8581a2h10_Automotive |
| Model ID | sprd uis8581a2h10_Automotive |
| Motherboard | uis8581a2h10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3333 revision 0 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores @ 1.20 GHz |
| Cluster 2 | 4 Cores @ 1.60 GHz |
| Memory Information | |
|---|---|
| Size | 2.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
62
6.62 IPS |
|
|
Image Classification (F16)
|
100% |
61
6.51 IPS |
|
|
Image Classification (I8)
|
81% |
104
11.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
111
0.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
111
0.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
295
1.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
58
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
78
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
90
3.15 IPS |
|
|
Object Detection (F16)
|
100% |
90
3.14 IPS |
|
|
Object Detection (I8)
|
52% |
133
4.66 IPS |
|
|
Face Detection (F32)
|
100% |
130
1.49 IPS |
|
|
Face Detection (F16)
|
100% |
130
1.50 IPS |
|
|
Face Detection (I8)
|
75% |
215
2.47 IPS |
|
|
Text Classification (F32)
|
100% |
70
27.6 IPS |
|
|
Text Classification (F16)
|
100% |
69
27.3 IPS |
|
|
Machine Translation (F32)
|
100% |
18
2.72 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.70 IPS |
