Upload Date | September 02 2025 05:17 PM |
Views | 3 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm Snapdragon 8 Gen 2 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Samsung Galaxy S23 |
Model ID | samsung SM-S911W |
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 | 6.91 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
229
42.7 IPS |
|
Image Classification (HP)
|
100% |
12840
2.39 KIPS |
|
Image Classification (Q)
|
97% |
32307
6.03 KIPS |
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
Image Segmentation (HP)
|
100% |
7755
125.7 IPS |
|
Image Segmentation (Q)
|
98% |
21845
355.2 IPS |
|
Pose Estimation (SP)
|
100% |
421
0.49 IPS |
|
Pose Estimation (HP)
|
100% |
71750
83.7 IPS |
|
Pose Estimation (Q)
|
98% |
295364
345.7 IPS |
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
Object Detection (HP)
|
100% |
12234
970.4 IPS |
|
Object Detection (Q)
|
86% |
13837
1.11 KIPS |
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
Face Detection (HP)
|
100% |
24933
296.3 IPS |
|
Face Detection (Q)
|
97% |
85317
1.02 KIPS |
|
Depth Estimation (SP)
|
100% |
509
3.92 IPS |
|
Depth Estimation (HP)
|
99% |
45169
348.0 IPS |
|
Depth Estimation (Q)
|
63% |
82339
771.0 IPS |
|
Style Transfer (SP)
|
100% |
831
1.07 IPS |
|
Style Transfer (HP)
|
98% |
60077
77.5 IPS |
|
Style Transfer (Q)
|
98% |
294890
380.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
32768
1.21 KIPS |
|
Image Super-Resolution (Q)
|
97% |
82299
3.05 KIPS |
|
Text Classification (SP)
|
100% |
333
444.7 IPS |
|
Text Classification (HP)
|
100% |
2531
3.38 KIPS |
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
Machine Translation (SP)
|
100% |
556
9.58 IPS |
|
Machine Translation (HP)
|
100% |
3036
52.3 IPS |
|
Machine Translation (Q)
|
55% |
1837
48.1 IPS |