| User | jcalandroid |
| Upload Date | March 13 2026 05:04 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SCG37 |
| Model ID | samsung SCG37 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.74 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1873
348.3 IPS |
|
|
Image Classification (HP)
|
100% |
2829
526.1 IPS |
|
|
Image Classification (Q)
|
100% |
2621
487.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6249
101.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5220
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14381
16.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
26131
30.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
18474
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
1965
155.9 IPS |
|
|
Object Detection (Q)
|
85% |
1878
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
9375
111.4 IPS |
|
|
Face Detection (Q)
|
97% |
7576
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7487
57.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10361
80.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7907
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18015
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39944
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35388
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5396
199.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5924
219.5 IPS |
|
|
Text Classification (SP)
|
35% |
107
1.04 KIPS |
|
|
Text Classification (HP)
|
35% |
109
995.2 IPS |
|
|
Text Classification (Q)
|
33% |
86
962.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (Q)
|
48% |
730
28.0 IPS |