| User | jskim0912 |
| Upload Date | June 24 2025 04:17 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G635LX_G635LX |
| Motherboard | ASUSTeK COMPUTER INC. G635LX |
| 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% |
4636
862.2 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (Q)
|
99% |
8219
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3597
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11942
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
39496
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
4351
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (Q)
|
86% |
8876
713.4 IPS |
|
|
Face Detection (SP)
|
100% |
12359
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
11756
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13911
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3114
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21791
173.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23665
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16375
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29471
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3016
111.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5830
215.9 IPS |
|
|
Text Classification (SP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
587
786.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3560
71.5 IPS |