| Upload Date | December 08 2022 05:36 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung Galaxy Note10+ |
| Model ID | samsung SM-N975U |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
754
80.7 IPS |
|
|
Image Classification (F16)
|
100% |
1451
155.5 IPS |
|
|
Image Classification (I8)
|
80% |
1267
135.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1866
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3308
20.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3246
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
944
3.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
1667
6.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
1660
6.72 IPS |
|
|
Object Detection (F32)
|
100% |
492
17.3 IPS |
|
|
Object Detection (F16)
|
99% |
703
24.7 IPS |
|
|
Object Detection (I8)
|
53% |
693
24.3 IPS |
|
|
Face Detection (F32)
|
100% |
1616
18.6 IPS |
|
|
Face Detection (F16)
|
97% |
2675
30.7 IPS |
|
|
Face Detection (I8)
|
76% |
2364
27.2 IPS |
|
|
Text Classification (F32)
|
100% |
524
207.3 IPS |
|
|
Text Classification (F16)
|
98% |
573
226.8 IPS |
|
|
Machine Translation (F32)
|
100% |
446
68.7 IPS |
|
|
Machine Translation (F16)
|
100% |
445
68.6 IPS |
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