Upload Date | October 18 2025 01:47 PM |
Views | 4 |
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. ProArt P16 H7606WV_H7606WV |
Motherboard | ASUSTeK COMPUTER INC. H7606WV |
Power Plan | Standard |
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% |
7391
1.37 KIPS |
|
Image Classification (HP)
|
99% |
13074
2.44 KIPS |
|
Image Classification (Q)
|
99% |
6776
1.26 KIPS |
|
Image Segmentation (SP)
|
100% |
12751
206.7 IPS |
|
Image Segmentation (HP)
|
100% |
18039
292.4 IPS |
|
Image Segmentation (Q)
|
98% |
11084
180.2 IPS |
|
Pose Estimation (SP)
|
100% |
75048
87.6 IPS |
|
Pose Estimation (HP)
|
100% |
239791
279.8 IPS |
|
Pose Estimation (Q)
|
96% |
67770
79.4 IPS |
|
Object Detection (SP)
|
100% |
8939
709.1 IPS |
|
Object Detection (HP)
|
100% |
17211
1.37 KIPS |
|
Object Detection (Q)
|
84% |
7860
633.9 IPS |
|
Face Detection (SP)
|
100% |
19078
226.7 IPS |
|
Face Detection (HP)
|
100% |
34765
413.1 IPS |
|
Face Detection (Q)
|
97% |
14942
178.2 IPS |
|
Depth Estimation (SP)
|
100% |
30279
233.3 IPS |
|
Depth Estimation (HP)
|
99% |
83370
642.3 IPS |
|
Depth Estimation (Q)
|
77% |
26925
215.4 IPS |
|
Style Transfer (SP)
|
100% |
130491
167.7 IPS |
|
Style Transfer (HP)
|
100% |
350832
451.0 IPS |
|
Style Transfer (Q)
|
98% |
112692
145.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
27412
1.01 KIPS |
|
Image Super-Resolution (HP)
|
100% |
48452
1.79 KIPS |
|
Image Super-Resolution (Q)
|
99% |
21425
793.4 IPS |
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
Text Classification (HP)
|
99% |
3900
5.21 KIPS |
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
Machine Translation (SP)
|
100% |
4082
70.3 IPS |
|
Machine Translation (HP)
|
100% |
4387
75.6 IPS |
|
Machine Translation (Q)
|
70% |
1538
28.8 IPS |