Upload Date | August 15 2025 10:22 AM |
Views | 5 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm Snapdragon 8 Elite |
System Information | |
---|---|
Operating System | Android 15 |
Model | Samsung Galaxy S25+ |
Model ID | samsung SM-S936N |
Motherboard | sun |
Governor | walt |
CPU Information | |
---|---|
Name | Qualcomm ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
Base Frequency | 3.53 GHz |
Cluster 1 | 6 Cores @ 3.53 GHz |
Cluster 2 | 2 Cores @ 4.47 GHz |
Memory Information | |
---|---|
Size | 10.86 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
244
45.3 IPS |
|
Image Classification (HP)
|
100% |
19523
3.63 KIPS |
|
Image Classification (Q)
|
97% |
45986
8.58 KIPS |
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
Image Segmentation (HP)
|
100% |
13243
214.7 IPS |
|
Image Segmentation (Q)
|
98% |
39750
646.4 IPS |
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
Pose Estimation (HP)
|
100% |
122842
143.3 IPS |
|
Pose Estimation (Q)
|
98% |
474799
555.7 IPS |
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
Object Detection (HP)
|
100% |
18012
1.43 KIPS |
|
Object Detection (Q)
|
85% |
21205
1.71 KIPS |
|
Face Detection (SP)
|
100% |
662
7.86 IPS |
|
Face Detection (HP)
|
100% |
39102
464.6 IPS |
|
Face Detection (Q)
|
97% |
127381
1.52 KIPS |
|
Depth Estimation (SP)
|
100% |
569
4.38 IPS |
|
Depth Estimation (HP)
|
99% |
81074
624.6 IPS |
|
Depth Estimation (Q)
|
63% |
136260
1.26 KIPS |
|
Style Transfer (SP)
|
100% |
1082
1.39 IPS |
|
Style Transfer (HP)
|
98% |
98329
126.8 IPS |
|
Style Transfer (Q)
|
98% |
488219
629.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
Image Super-Resolution (HP)
|
100% |
52149
1.93 KIPS |
|
Image Super-Resolution (Q)
|
97% |
131324
4.87 KIPS |
|
Text Classification (SP)
|
100% |
364
485.6 IPS |
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
Text Classification (Q)
|
93% |
7900
10.6 KIPS |
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
Machine Translation (HP)
|
100% |
4389
75.6 IPS |
|
Machine Translation (Q)
|
56% |
2923
75.3 IPS |