Upload Date | July 03 2025 05:04 PM |
Views | 4 |
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 Zephyrus G14 GA403WW_GA403WW |
Motherboard | ASUSTeK COMPUTER INC. GA403WW |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | AMD Ryzen AI 9 HX 370 |
Topology | 1 Processor, 12 Cores, 24 Threads |
Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
10800
2.01 KIPS |
|
Image Classification (HP)
|
100% |
17160
3.19 KIPS |
|
Image Classification (Q)
|
100% |
9731
1.81 KIPS |
|
Image Segmentation (SP)
|
100% |
17388
281.9 IPS |
|
Image Segmentation (HP)
|
100% |
26690
432.7 IPS |
|
Image Segmentation (Q)
|
98% |
15892
258.4 IPS |
|
Pose Estimation (SP)
|
100% |
126600
147.7 IPS |
|
Pose Estimation (HP)
|
100% |
359860
419.9 IPS |
|
Pose Estimation (Q)
|
96% |
115189
134.9 IPS |
|
Object Detection (SP)
|
100% |
12888
1.02 KIPS |
|
Object Detection (HP)
|
100% |
22334
1.77 KIPS |
|
Object Detection (Q)
|
86% |
11115
893.0 IPS |
|
Face Detection (SP)
|
100% |
34691
412.2 IPS |
|
Face Detection (HP)
|
100% |
54682
649.7 IPS |
|
Face Detection (Q)
|
97% |
28840
343.9 IPS |
|
Depth Estimation (SP)
|
100% |
57968
446.6 IPS |
|
Depth Estimation (HP)
|
99% |
115978
893.5 IPS |
|
Depth Estimation (Q)
|
78% |
44767
357.6 IPS |
|
Style Transfer (SP)
|
100% |
199885
257.0 IPS |
|
Style Transfer (HP)
|
100% |
713786
917.6 IPS |
|
Style Transfer (Q)
|
98% |
174070
224.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
35191
1.30 KIPS |
|
Image Super-Resolution (HP)
|
100% |
64596
2.39 KIPS |
|
Image Super-Resolution (Q)
|
99% |
28678
1.06 KIPS |
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
Text Classification (Q)
|
97% |
2053
2.75 KIPS |
|
Machine Translation (SP)
|
100% |
5365
92.4 IPS |
|
Machine Translation (HP)
|
100% |
5493
94.6 IPS |
|
Machine Translation (Q)
|
70% |
2073
38.9 IPS |