Upload Date | June 17 2025 05:13 AM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 14 |
Model | samsung SCG20 |
Model ID | samsung SCG20 |
Motherboard | kalama |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Base Frequency | 2.02 GHz |
Cluster 1 | 3 Cores @ 2.02 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Cluster 3 | 1 Core @ 3.36 GHz |
Memory Information | |
---|---|
Size | 10.77 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
Image Classification (HP)
|
100% |
12506
2.33 KIPS |
|
Image Classification (Q)
|
97% |
32152
6.00 KIPS |
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
Image Segmentation (HP)
|
100% |
7389
119.8 IPS |
|
Image Segmentation (Q)
|
98% |
20895
339.8 IPS |
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
Pose Estimation (HP)
|
100% |
72606
84.7 IPS |
|
Pose Estimation (Q)
|
98% |
292934
342.9 IPS |
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
Object Detection (HP)
|
100% |
11802
936.2 IPS |
|
Object Detection (Q)
|
86% |
13250
1.07 KIPS |
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
Face Detection (HP)
|
100% |
23636
280.8 IPS |
|
Face Detection (Q)
|
97% |
81519
972.2 IPS |
|
Depth Estimation (SP)
|
100% |
379
2.92 IPS |
|
Depth Estimation (HP)
|
99% |
44634
343.9 IPS |
|
Depth Estimation (Q)
|
63% |
81337
761.6 IPS |
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
Style Transfer (HP)
|
98% |
60701
78.3 IPS |
|
Style Transfer (Q)
|
98% |
293614
378.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
183
6.77 IPS |
|
Image Super-Resolution (HP)
|
100% |
32643
1.21 KIPS |
|
Image Super-Resolution (Q)
|
97% |
82122
3.04 KIPS |
|
Text Classification (SP)
|
100% |
222
295.8 IPS |
|
Text Classification (HP)
|
100% |
2473
3.30 KIPS |
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
Machine Translation (SP)
|
100% |
400
6.89 IPS |
|
Machine Translation (HP)
|
100% |
2720
46.9 IPS |
|
Machine Translation (Q)
|
55% |
1684
44.1 IPS |