| Upload Date | June 15 2025 06:28 AM |
| 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% |
3840
714.2 IPS |
|
|
Image Classification (HP)
|
100% |
4009
745.6 IPS |
|
|
Image Classification (Q)
|
100% |
3503
651.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6221
100.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13215
214.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4732
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19152
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
84186
98.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16044
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
5347
424.1 IPS |
|
|
Object Detection (HP)
|
100% |
9662
766.4 IPS |
|
|
Object Detection (Q)
|
88% |
4219
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
9467
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
18432
219.0 IPS |
|
|
Face Detection (Q)
|
97% |
6796
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19968
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40326
310.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12498
99.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43664
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
160960
206.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34131
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13128
484.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5111
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (Q)
|
97% |
741
993.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1115
20.9 IPS |