| Upload Date | December 09 2022 06:43 AM |
| Views | 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy S20 FE 5G |
| Model ID | samsung SM-G781B |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
447
47.9 IPS |
|
|
Image Classification (F16)
|
100% |
445
47.7 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
605
3.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
611
3.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
835
5.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
263
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
268
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
239
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
418
14.7 IPS |
|
|
Object Detection (F16)
|
100% |
361
12.7 IPS |
|
|
Object Detection (I8)
|
52% |
289
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
570
6.55 IPS |
|
|
Face Detection (F16)
|
100% |
596
6.85 IPS |
|
|
Face Detection (I8)
|
75% |
558
6.41 IPS |
|
|
Text Classification (F32)
|
100% |
396
156.6 IPS |
|
|
Text Classification (F16)
|
100% |
396
156.6 IPS |
|
|
Machine Translation (F32)
|
100% |
544
83.8 IPS |
|
|
Machine Translation (F16)
|
100% |
542
83.6 IPS |
Compare
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