| Upload Date | December 09 2022 02:09 AM |
| Views | 12 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-F936N |
| Model ID | samsung SM-F936N |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
592
63.5 IPS |
|
|
Image Classification (F16)
|
100% |
590
63.3 IPS |
|
|
Image Classification (I8)
|
81% |
188
20.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
4.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
789
4.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1026
6.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
354
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
284
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
555
19.5 IPS |
|
|
Object Detection (F16)
|
100% |
539
18.9 IPS |
|
|
Object Detection (I8)
|
52% |
300
10.5 IPS |
|
|
Face Detection (F32)
|
100% |
870
9.99 IPS |
|
|
Face Detection (F16)
|
100% |
880
10.1 IPS |
|
|
Face Detection (I8)
|
75% |
564
6.48 IPS |
|
|
Text Classification (F32)
|
100% |
350
138.5 IPS |
|
|
Text Classification (F16)
|
100% |
350
138.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1119
172.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1117
172.2 IPS |
Compare
Set Baseline