Upload Date | October 08 2025 08:28 AM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel(R) Core(TM) Ultra 9 285H |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506CU_N6506CU |
Motherboard | ASUSTeK COMPUTER INC. N6506CU |
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 | 24.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2412
448.5 IPS |
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
Image Classification (Q)
|
99% |
4046
754.6 IPS |
|
Image Segmentation (SP)
|
100% |
1195
19.4 IPS |
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
Image Segmentation (Q)
|
98% |
7014
114.1 IPS |
|
Pose Estimation (SP)
|
100% |
6466
7.54 IPS |
|
Pose Estimation (HP)
|
100% |
4154
4.85 IPS |
|
Pose Estimation (Q)
|
94% |
21385
25.1 IPS |
|
Object Detection (SP)
|
100% |
2216
175.7 IPS |
|
Object Detection (HP)
|
100% |
612
48.5 IPS |
|
Object Detection (Q)
|
86% |
5386
432.9 IPS |
|
Face Detection (SP)
|
100% |
6093
72.4 IPS |
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
Face Detection (Q)
|
97% |
6682
79.7 IPS |
|
Depth Estimation (SP)
|
100% |
5934
45.7 IPS |
|
Depth Estimation (HP)
|
99% |
1844
14.2 IPS |
|
Depth Estimation (Q)
|
78% |
11698
93.3 IPS |
|
Style Transfer (SP)
|
100% |
14895
19.1 IPS |
|
Style Transfer (HP)
|
100% |
9730
12.5 IPS |
|
Style Transfer (Q)
|
98% |
16323
21.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
2272
83.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
1713
63.2 IPS |
|
Image Super-Resolution (Q)
|
99% |
3790
140.4 IPS |
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
Text Classification (HP)
|
100% |
560
747.3 IPS |
|
Text Classification (Q)
|
97% |
991
1.33 KIPS |
|
Machine Translation (SP)
|
100% |
1696
29.2 IPS |
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
Machine Translation (Q)
|
65% |
2463
49.5 IPS |