| User | sahinkilinc |
| Upload Date | October 04 2024 01:30 PM |
| Views | 10 |
| 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 Zenbook S 14 UX5406SA_UX5406SA |
| Motherboard | ASUSTeK COMPUTER INC. UX5406SA |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
11623
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
16151
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5250
85.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7114
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3152
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
99283
115.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
196450
230.1 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
100% |
13771
1.09 KIPS |
|
|
Object Detection (Q)
|
87% |
18577
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
21735
258.3 IPS |
|
|
Face Detection (Q)
|
100% |
42601
506.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4591
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55036
424.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
104354
812.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9108
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
211830
272.3 IPS |
|
|
Style Transfer (Q)
|
98% |
312127
402.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32456
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46535
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
1776
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2199
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2494
43.0 IPS |