| Upload Date | November 14 2025 05:34 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% |
5201
967.3 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
99% |
9540
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15821
257.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13453
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7250
8.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
43870
51.4 IPS |
|
|
Object Detection (SP)
|
100% |
4791
380.0 IPS |
|
|
Object Detection (HP)
|
100% |
1111
88.2 IPS |
|
|
Object Detection (Q)
|
86% |
10442
839.2 IPS |
|
|
Face Detection (SP)
|
100% |
14315
170.1 IPS |
|
|
Face Detection (HP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
12712
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14999
115.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3289
25.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
24651
196.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30448
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18314
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32645
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6707
248.4 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4090
82.2 IPS |