| User | epicgeek |
| Upload Date | August 17 2025 02:44 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X820 |
| Model ID | samsung SM-X820 |
| Motherboard | gts10pwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1218
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
4472
831.7 IPS |
|
|
Image Classification (Q)
|
99% |
9163
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4214
68.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8821
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18368
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75197
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
4685
371.6 IPS |
|
|
Object Detection (Q)
|
86% |
5714
459.6 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
12004
142.6 IPS |
|
|
Face Detection (Q)
|
97% |
11626
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
961
7.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
19494
150.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
33275
316.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2615
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
698
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
405
6.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10885
401.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8026
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
135
180.1 IPS |
|
|
Text Classification (HP)
|
97% |
2145
2.87 KIPS |
|
|
Text Classification (Q)
|
73% |
2058
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (Q)
|
60% |
430
9.67 IPS |