| Upload Date | November 16 2025 11:55 PM |
| Views | 2 |
| 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 | Performance |
| 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% |
2731
507.8 IPS |
|
|
Image Classification (HP)
|
100% |
3909
727.0 IPS |
|
|
Image Classification (Q)
|
99% |
2046
381.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5490
89.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2295
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9964
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16398
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8601
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2893
229.5 IPS |
|
|
Object Detection (HP)
|
100% |
4365
346.2 IPS |
|
|
Object Detection (Q)
|
86% |
2072
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
5793
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
9042
107.4 IPS |
|
|
Face Detection (Q)
|
97% |
3635
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9702
74.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15153
117.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6969
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26249
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40743
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19994
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3235
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
698
931.2 IPS |
|
|
Text Classification (Q)
|
97% |
685
917.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2454
42.4 IPS |
|
|
Machine Translation (Q)
|
70% |
963
18.1 IPS |