| Upload Date | July 02 2025 12:06 PM |
| Views | 5 |
| 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% |
3212
597.4 IPS |
|
|
Image Classification (HP)
|
100% |
4499
836.8 IPS |
|
|
Image Classification (Q)
|
100% |
2668
496.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5652
91.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12435
201.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4334
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18937
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
73777
86.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15355
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
4903
388.9 IPS |
|
|
Object Detection (HP)
|
100% |
7550
598.9 IPS |
|
|
Object Detection (Q)
|
88% |
3897
312.6 IPS |
|
|
Face Detection (SP)
|
100% |
9302
110.5 IPS |
|
|
Face Detection (HP)
|
100% |
18341
217.9 IPS |
|
|
Face Detection (Q)
|
97% |
5502
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17092
131.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32806
252.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13418
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42887
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149238
191.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31294
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7902
291.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15059
556.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
551
737.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2911
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1015
19.0 IPS |