User | suswishwhoa |
Upload Date | November 28 2024 04:50 PM |
Views | 1 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | NPU |
Device | Intel(R) AI Boost |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA |
Motherboard | ASUSTeK COMPUTER INC. S5406SA |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 5 226V |
Topology | 1 Processor, 8 Cores |
Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
Base Frequency | 2.10 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1416
263.3 IPS |
|
Image Classification (HP)
|
100% |
8509
1.58 KIPS |
|
Image Classification (Q)
|
100% |
6673
1.24 KIPS |
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
Image Segmentation (HP)
|
100% |
7612
123.4 IPS |
|
Image Segmentation (Q)
|
99% |
9645
156.4 IPS |
|
Pose Estimation (SP)
|
100% |
2447
2.86 IPS |
|
Pose Estimation (HP)
|
100% |
66506
77.6 IPS |
|
Pose Estimation (Q)
|
96% |
161836
189.6 IPS |
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
Object Detection (HP)
|
100% |
8490
673.4 IPS |
|
Object Detection (Q)
|
87% |
10882
873.4 IPS |
|
Face Detection (SP)
|
100% |
1998
23.7 IPS |
|
Face Detection (HP)
|
100% |
18944
225.1 IPS |
|
Face Detection (Q)
|
100% |
28647
340.4 IPS |
|
Depth Estimation (SP)
|
100% |
3427
26.4 IPS |
|
Depth Estimation (HP)
|
99% |
44765
344.9 IPS |
|
Depth Estimation (Q)
|
88% |
84288
656.0 IPS |
|
Style Transfer (SP)
|
100% |
7291
9.37 IPS |
|
Style Transfer (HP)
|
100% |
169463
217.8 IPS |
|
Style Transfer (Q)
|
98% |
243529
314.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
1550
57.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
21837
806.3 IPS |
|
Image Super-Resolution (Q)
|
99% |
30336
1.12 KIPS |
|
Text Classification (SP)
|
100% |
1351
1.80 KIPS |
|
Text Classification (HP)
|
100% |
1073
1.43 KIPS |
|
Text Classification (Q)
|
92% |
1013
1.36 KIPS |
|
Machine Translation (SP)
|
100% |
1587
27.3 IPS |
|
Machine Translation (HP)
|
100% |
2218
38.2 IPS |
|
Machine Translation (Q)
|
100% |
2342
40.3 IPS |