User | Maximum_Game |
Upload Date | February 28 2025 02:58 AM |
Views | 4 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm Snapdragon 855 |
System Information | |
---|---|
Operating System | Android 12 |
Model | Samsung Galaxy S10+ |
Model ID | samsung SM-G975U1 |
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 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
147
27.4 IPS |
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
Image Classification (Q)
|
99% |
346
64.5 IPS |
|
Image Segmentation (SP)
|
100% |
192
3.12 IPS |
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
Image Segmentation (Q)
|
98% |
350
5.69 IPS |
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
Pose Estimation (Q)
|
98% |
776
0.91 IPS |
|
Object Detection (SP)
|
100% |
90
7.11 IPS |
|
Object Detection (HP)
|
100% |
95
7.57 IPS |
|
Object Detection (Q)
|
87% |
266
21.3 IPS |
|
Face Detection (SP)
|
100% |
288
3.42 IPS |
|
Face Detection (HP)
|
100% |
311
3.70 IPS |
|
Face Detection (Q)
|
97% |
631
7.53 IPS |
|
Depth Estimation (SP)
|
100% |
298
2.29 IPS |
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
Depth Estimation (Q)
|
64% |
651
5.91 IPS |
|
Style Transfer (SP)
|
100% |
417
0.54 IPS |
|
Style Transfer (HP)
|
100% |
375
0.48 IPS |
|
Style Transfer (Q)
|
98% |
1125
1.45 IPS |
|
Image Super-Resolution (SP)
|
100% |
112
4.14 IPS |
|
Image Super-Resolution (HP)
|
100% |
112
4.14 IPS |
|
Image Super-Resolution (Q)
|
97% |
397
14.7 IPS |
|
Text Classification (SP)
|
100% |
157
209.2 IPS |
|
Text Classification (HP)
|
100% |
157
209.0 IPS |
|
Text Classification (Q)
|
91% |
243
326.2 IPS |
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
Machine Translation (Q)
|
57% |
275
6.72 IPS |