| Upload Date | November 26 2025 05:16 AM |
| Views | 5 |
| 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 | 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% |
5288
983.4 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (Q)
|
99% |
9521
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16300
265.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12555
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
43168
50.6 IPS |
|
|
Object Detection (SP)
|
100% |
4699
372.7 IPS |
|
|
Object Detection (HP)
|
100% |
1096
87.0 IPS |
|
|
Object Detection (Q)
|
86% |
11250
904.2 IPS |
|
|
Face Detection (SP)
|
100% |
14398
171.1 IPS |
|
|
Face Detection (HP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
12726
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13504
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3209
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23949
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28703
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16565
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32465
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4739
175.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2943
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5616
208.0 IPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1480
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2825
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4121
82.8 IPS |