Upload Date | April 21 2025 09:03 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% |
11476
2.13 KIPS |
|
Image Classification (HP)
|
100% |
17559
3.27 KIPS |
|
Image Classification (Q)
|
100% |
10168
1.89 KIPS |
|
Image Segmentation (SP)
|
100% |
22611
366.5 IPS |
|
Image Segmentation (HP)
|
100% |
32705
530.2 IPS |
|
Image Segmentation (Q)
|
98% |
20387
331.5 IPS |
|
Pose Estimation (SP)
|
100% |
178868
208.7 IPS |
|
Pose Estimation (HP)
|
100% |
516119
602.2 IPS |
|
Pose Estimation (Q)
|
96% |
149563
175.2 IPS |
|
Object Detection (SP)
|
100% |
14957
1.19 KIPS |
|
Object Detection (HP)
|
100% |
23383
1.85 KIPS |
|
Object Detection (Q)
|
86% |
12944
1.04 KIPS |
|
Face Detection (SP)
|
100% |
43891
521.5 IPS |
|
Face Detection (HP)
|
100% |
65459
777.8 IPS |
|
Face Detection (Q)
|
97% |
36994
441.1 IPS |
|
Depth Estimation (SP)
|
100% |
69885
538.4 IPS |
|
Depth Estimation (HP)
|
99% |
151685
1.17 KIPS |
|
Depth Estimation (Q)
|
78% |
54500
435.2 IPS |
|
Style Transfer (SP)
|
100% |
268382
345.0 IPS |
|
Style Transfer (HP)
|
100% |
844991
1.09 KIPS |
|
Style Transfer (Q)
|
98% |
239102
308.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
40539
1.50 KIPS |
|
Image Super-Resolution (HP)
|
100% |
69391
2.56 KIPS |
|
Image Super-Resolution (Q)
|
99% |
31598
1.17 KIPS |
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
Text Classification (HP)
|
100% |
4132
5.52 KIPS |
|
Text Classification (Q)
|
97% |
2013
2.70 KIPS |
|
Machine Translation (SP)
|
100% |
6141
105.8 IPS |
|
Machine Translation (HP)
|
100% |
6145
105.9 IPS |
|
Machine Translation (Q)
|
70% |
2810
52.7 IPS |