| Upload Date | December 12 2025 05:06 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2689
500.1 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.2 IPS |
|
|
Image Classification (Q)
|
99% |
1953
364.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3270
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5282
85.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2194
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16335
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8582
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
4300
341.0 IPS |
|
|
Object Detection (Q)
|
86% |
2022
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
8818
104.8 IPS |
|
|
Face Detection (Q)
|
97% |
3674
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9589
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15330
118.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6797
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26429
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41082
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20259
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4631
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7043
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3127
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
715
954.9 IPS |
|
|
Text Classification (Q)
|
97% |
696
932.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2369
40.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2443
42.2 IPS |
|
|
Machine Translation (Q)
|
70% |
953
17.9 IPS |