Upload Date | June 16 2025 09:59 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4060 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV |
Motherboard | ASUSTeK COMPUTER INC. FA401WV |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7552
1.40 KIPS |
|
Image Classification (HP)
|
99% |
13658
2.55 KIPS |
|
Image Classification (Q)
|
99% |
6883
1.28 KIPS |
|
Image Segmentation (SP)
|
100% |
12912
209.3 IPS |
|
Image Segmentation (HP)
|
100% |
18702
303.2 IPS |
|
Image Segmentation (Q)
|
98% |
11754
191.1 IPS |
|
Pose Estimation (SP)
|
100% |
85776
100.1 IPS |
|
Pose Estimation (HP)
|
100% |
250213
292.0 IPS |
|
Pose Estimation (Q)
|
96% |
73946
86.6 IPS |
|
Object Detection (SP)
|
100% |
8958
710.5 IPS |
|
Object Detection (HP)
|
100% |
17762
1.41 KIPS |
|
Object Detection (Q)
|
84% |
7818
630.6 IPS |
|
Face Detection (SP)
|
100% |
21216
252.1 IPS |
|
Face Detection (HP)
|
100% |
35294
419.4 IPS |
|
Face Detection (Q)
|
97% |
17934
213.9 IPS |
|
Depth Estimation (SP)
|
100% |
36494
281.2 IPS |
|
Depth Estimation (HP)
|
99% |
80659
621.4 IPS |
|
Depth Estimation (Q)
|
77% |
28526
228.2 IPS |
|
Style Transfer (SP)
|
100% |
134756
173.2 IPS |
|
Style Transfer (HP)
|
100% |
371465
477.5 IPS |
|
Style Transfer (Q)
|
98% |
125497
161.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
29265
1.08 KIPS |
|
Image Super-Resolution (HP)
|
100% |
48826
1.80 KIPS |
|
Image Super-Resolution (Q)
|
99% |
21108
781.6 IPS |
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
Text Classification (HP)
|
99% |
3992
5.33 KIPS |
|
Text Classification (Q)
|
97% |
2025
2.71 KIPS |
|
Machine Translation (SP)
|
100% |
4441
76.5 IPS |
|
Machine Translation (HP)
|
100% |
4884
84.1 IPS |
|
Machine Translation (Q)
|
70% |
1681
31.5 IPS |