Upload Date | April 21 2025 09:09 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5090 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LX_G835LX |
Motherboard | ASUSTeK COMPUTER INC. G835LX |
Power Plan | Performance |
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% |
11509
2.14 KIPS |
|
Image Classification (HP)
|
100% |
17432
3.24 KIPS |
|
Image Classification (Q)
|
100% |
10157
1.89 KIPS |
|
Image Segmentation (SP)
|
100% |
22726
368.4 IPS |
|
Image Segmentation (HP)
|
100% |
32539
527.5 IPS |
|
Image Segmentation (Q)
|
98% |
20361
331.1 IPS |
|
Pose Estimation (SP)
|
100% |
178903
208.7 IPS |
|
Pose Estimation (HP)
|
100% |
517343
603.7 IPS |
|
Pose Estimation (Q)
|
96% |
153566
179.9 IPS |
|
Object Detection (SP)
|
100% |
14926
1.18 KIPS |
|
Object Detection (HP)
|
100% |
23399
1.86 KIPS |
|
Object Detection (Q)
|
86% |
13005
1.04 KIPS |
|
Face Detection (SP)
|
100% |
43815
520.6 IPS |
|
Face Detection (HP)
|
100% |
65703
780.7 IPS |
|
Face Detection (Q)
|
97% |
36622
436.7 IPS |
|
Depth Estimation (SP)
|
100% |
70956
546.7 IPS |
|
Depth Estimation (HP)
|
99% |
150191
1.16 KIPS |
|
Depth Estimation (Q)
|
78% |
53765
429.3 IPS |
|
Style Transfer (SP)
|
100% |
267744
344.2 IPS |
|
Style Transfer (HP)
|
100% |
851754
1.09 KIPS |
|
Style Transfer (Q)
|
98% |
240073
309.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
40752
1.50 KIPS |
|
Image Super-Resolution (HP)
|
100% |
68436
2.53 KIPS |
|
Image Super-Resolution (Q)
|
99% |
30788
1.14 KIPS |
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
Text Classification (HP)
|
100% |
4088
5.46 KIPS |
|
Text Classification (Q)
|
97% |
2003
2.68 KIPS |
|
Machine Translation (SP)
|
100% |
6102
105.1 IPS |
|
Machine Translation (HP)
|
100% |
6125
105.5 IPS |
|
Machine Translation (Q)
|
70% |
2816
52.8 IPS |