| Upload Date | June 21 2025 08:18 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| 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% |
3851
716.1 IPS |
|
|
Image Classification (HP)
|
100% |
3777
702.4 IPS |
|
|
Image Classification (Q)
|
100% |
2200
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6013
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12339
200.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4261
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18947
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
94233
110.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16036
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
9759
774.1 IPS |
|
|
Object Detection (Q)
|
88% |
3945
316.4 IPS |
|
|
Face Detection (SP)
|
100% |
7585
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
17082
203.0 IPS |
|
|
Face Detection (Q)
|
97% |
6335
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19705
151.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41849
322.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13133
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51521
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
162627
209.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35796
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6701
247.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14299
528.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5240
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
733
981.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1150
21.6 IPS |