| User | Mansur892 |
| Upload Date | December 08 2022 08:25 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-A528B |
| Model ID | samsung SM-A528B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.19 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
754
80.8 IPS |
|
|
Image Classification (F16)
|
100% |
1212
129.8 IPS |
|
|
Image Classification (I8)
|
80% |
1085
116.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1638
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2804
17.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
2835
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
711
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
1368
5.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
1362
5.51 IPS |
|
|
Object Detection (F32)
|
100% |
510
17.9 IPS |
|
|
Object Detection (F16)
|
99% |
596
20.9 IPS |
|
|
Object Detection (I8)
|
53% |
596
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
1279
14.7 IPS |
|
|
Face Detection (F16)
|
97% |
2354
27.0 IPS |
|
|
Face Detection (I8)
|
75% |
2024
23.3 IPS |
|
|
Text Classification (F32)
|
100% |
536
211.9 IPS |
|
|
Text Classification (F16)
|
98% |
593
234.6 IPS |
|
|
Machine Translation (F32)
|
100% |
472
72.7 IPS |
|
|
Machine Translation (F16)
|
100% |
470
72.4 IPS |
Compare
Set Baseline