Upload Date | October 08 2025 08:51 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5080 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 18 G835LW_G835LW |
Motherboard | ASUSTeK COMPUTER INC. G835LW |
Power Plan | Turbo |
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% |
11125
2.07 KIPS |
|
Image Classification (HP)
|
100% |
18435
3.43 KIPS |
|
Image Classification (Q)
|
100% |
9991
1.86 KIPS |
|
Image Segmentation (SP)
|
100% |
21094
341.9 IPS |
|
Image Segmentation (HP)
|
100% |
31621
512.6 IPS |
|
Image Segmentation (Q)
|
98% |
19186
312.0 IPS |
|
Pose Estimation (SP)
|
100% |
158686
185.2 IPS |
|
Pose Estimation (HP)
|
100% |
430004
501.7 IPS |
|
Pose Estimation (Q)
|
96% |
142545
167.0 IPS |
|
Object Detection (SP)
|
100% |
14118
1.12 KIPS |
|
Object Detection (HP)
|
100% |
23973
1.90 KIPS |
|
Object Detection (Q)
|
86% |
11714
941.2 IPS |
|
Face Detection (SP)
|
100% |
41032
487.6 IPS |
|
Face Detection (HP)
|
100% |
57130
678.8 IPS |
|
Face Detection (Q)
|
97% |
33830
403.4 IPS |
|
Depth Estimation (SP)
|
100% |
67726
521.8 IPS |
|
Depth Estimation (HP)
|
99% |
122814
946.2 IPS |
|
Depth Estimation (Q)
|
78% |
52464
419.1 IPS |
|
Style Transfer (SP)
|
100% |
246551
316.9 IPS |
|
Style Transfer (HP)
|
100% |
827103
1.06 KIPS |
|
Style Transfer (Q)
|
98% |
214666
276.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
39630
1.46 KIPS |
|
Image Super-Resolution (HP)
|
100% |
68063
2.51 KIPS |
|
Image Super-Resolution (Q)
|
99% |
30380
1.12 KIPS |
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
Text Classification (HP)
|
100% |
4355
5.81 KIPS |
|
Text Classification (Q)
|
97% |
2086
2.80 KIPS |
|
Machine Translation (SP)
|
100% |
6191
106.6 IPS |
|
Machine Translation (HP)
|
100% |
6222
107.2 IPS |
|
Machine Translation (Q)
|
70% |
2836
53.2 IPS |