| Upload Date | November 14 2025 09:09 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5160
959.6 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
9585
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15753
256.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13679
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
42832
50.2 IPS |
|
|
Object Detection (SP)
|
100% |
4690
372.1 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
86% |
10085
810.5 IPS |
|
|
Face Detection (SP)
|
100% |
14782
175.6 IPS |
|
|
Face Detection (HP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
12740
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14957
115.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24777
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28570
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18069
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
31989
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3194
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6265
232.0 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1441
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2908
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4027
80.9 IPS |