| Upload Date | October 31 2025 03:27 AM |
| Views | 2 |
| 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 | 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% |
5046
938.3 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.7 IPS |
|
|
Image Classification (Q)
|
99% |
9047
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14556
236.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12823
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6075
7.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
39068
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4727
375.0 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
86% |
9834
790.4 IPS |
|
|
Face Detection (SP)
|
100% |
13916
165.4 IPS |
|
|
Face Detection (HP)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
12264
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13704
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2906
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
21974
175.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26293
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14507
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32399
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2536
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6519
241.4 IPS |
|
|
Text Classification (SP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3730
75.0 IPS |