User | Jun2248 |
Upload Date | December 08 2024 12:18 PM |
Views | 410 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | asus ASUSAI2501C |
Model ID | asus ASUSAI2501C |
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 @ 4.32 GHz |
Memory Information | |
---|---|
Size | 22.51 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
439
81.6 IPS |
|
Image Classification (HP)
|
100% |
21538
4.01 KIPS |
|
Image Classification (Q)
|
97% |
50284
9.38 KIPS |
|
Image Segmentation (SP)
|
100% |
578
9.38 IPS |
|
Image Segmentation (HP)
|
100% |
14734
238.9 IPS |
|
Image Segmentation (Q)
|
98% |
43614
709.2 IPS |
|
Pose Estimation (SP)
|
100% |
746
0.87 IPS |
|
Pose Estimation (HP)
|
100% |
123184
143.7 IPS |
|
Pose Estimation (Q)
|
98% |
479553
561.3 IPS |
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
Object Detection (HP)
|
100% |
20263
1.61 KIPS |
|
Object Detection (Q)
|
85% |
23874
1.92 KIPS |
|
Face Detection (SP)
|
100% |
1074
12.8 IPS |
|
Face Detection (HP)
|
100% |
44954
534.1 IPS |
|
Face Detection (Q)
|
97% |
163948
1.96 KIPS |
|
Depth Estimation (SP)
|
100% |
938
7.22 IPS |
|
Depth Estimation (HP)
|
99% |
85252
656.8 IPS |
|
Depth Estimation (Q)
|
63% |
149647
1.39 KIPS |
|
Style Transfer (SP)
|
100% |
1572
2.02 IPS |
|
Style Transfer (HP)
|
98% |
99311
128.1 IPS |
|
Style Transfer (Q)
|
98% |
496866
640.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
55191
2.04 KIPS |
|
Image Super-Resolution (Q)
|
97% |
135337
5.01 KIPS |
|
Text Classification (SP)
|
100% |
654
872.4 IPS |
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
Text Classification (Q)
|
93% |
8233
11.0 KIPS |
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
Machine Translation (HP)
|
100% |
4938
85.1 IPS |
|
Machine Translation (Q)
|
56% |
3369
86.8 IPS |