| Upload Date | October 31 2025 07:24 AM |
| 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 | Silent |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
2686
499.5 IPS |
|
|
Image Classification (HP)
|
100% |
3877
721.1 IPS |
|
|
Image Classification (Q)
|
99% |
1924
358.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3267
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5218
84.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16377
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8588
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
4281
339.6 IPS |
|
|
Object Detection (Q)
|
86% |
2010
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
9355
111.2 IPS |
|
|
Face Detection (Q)
|
97% |
3654
43.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9496
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14862
114.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6894
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26195
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40710
52.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19981
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4498
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6940
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3075
113.9 IPS |
|
|
Text Classification (SP)
|
100% |
1181
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.4 IPS |
|
|
Text Classification (Q)
|
97% |
684
916.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2360
40.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2444
42.3 IPS |
|
|
Machine Translation (Q)
|
70% |
969
18.2 IPS |