User | ChrissoChrisso |
Upload Date | June 02 2025 02:10 AM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Arc(TM) 140T GPU (16GB) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA |
Motherboard | ASUSTeK COMPUTER INC. S5606CA |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 9 285H |
Topology | 1 Processor, 16 Cores |
Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
Base Frequency | 2.90 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4087
760.1 IPS |
|
Image Classification (HP)
|
100% |
4132
768.3 IPS |
|
Image Classification (Q)
|
99% |
3126
583.1 IPS |
|
Image Segmentation (SP)
|
100% |
3803
61.7 IPS |
|
Image Segmentation (HP)
|
100% |
9205
149.2 IPS |
|
Image Segmentation (Q)
|
98% |
2813
45.7 IPS |
|
Pose Estimation (SP)
|
100% |
25224
29.4 IPS |
|
Pose Estimation (HP)
|
100% |
39689
46.3 IPS |
|
Pose Estimation (Q)
|
95% |
19846
23.3 IPS |
|
Object Detection (SP)
|
100% |
4684
371.6 IPS |
|
Object Detection (HP)
|
99% |
5211
414.5 IPS |
|
Object Detection (Q)
|
85% |
3631
292.2 IPS |
|
Face Detection (SP)
|
100% |
8206
97.5 IPS |
|
Face Detection (HP)
|
87% |
9410
113.2 IPS |
|
Face Detection (Q)
|
97% |
5633
67.2 IPS |
|
Depth Estimation (SP)
|
100% |
16133
124.3 IPS |
|
Depth Estimation (HP)
|
99% |
22989
177.6 IPS |
|
Depth Estimation (Q)
|
77% |
12021
96.2 IPS |
|
Style Transfer (SP)
|
100% |
56301
72.4 IPS |
|
Style Transfer (HP)
|
27% |
4695
96.4 IPS |
|
Style Transfer (Q)
|
98% |
39861
51.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
9135
337.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
11665
430.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
5797
214.7 IPS |
|
Text Classification (SP)
|
86% |
766
1.04 KIPS |
|
Text Classification (HP)
|
99% |
680
907.7 IPS |
|
Text Classification (Q)
|
84% |
551
747.8 IPS |
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
Machine Translation (HP)
|
100% |
1858
32.0 IPS |
|
Machine Translation (Q)
|
70% |
1039
19.5 IPS |