User | markwahba |
Upload Date | January 22 2025 03:31 AM |
Views | 3 |
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 | Performance |
CPU Information | |
---|---|
Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
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% |
7172
1.33 KIPS |
|
Image Classification (HP)
|
99% |
12493
2.33 KIPS |
|
Image Classification (Q)
|
99% |
6506
1.21 KIPS |
|
Image Segmentation (SP)
|
100% |
12227
198.2 IPS |
|
Image Segmentation (HP)
|
100% |
17015
275.8 IPS |
|
Image Segmentation (Q)
|
98% |
11018
179.2 IPS |
|
Pose Estimation (SP)
|
100% |
88709
103.5 IPS |
|
Pose Estimation (HP)
|
100% |
246407
287.5 IPS |
|
Pose Estimation (Q)
|
96% |
77440
90.7 IPS |
|
Object Detection (SP)
|
100% |
8810
698.8 IPS |
|
Object Detection (HP)
|
100% |
16659
1.32 KIPS |
|
Object Detection (Q)
|
84% |
7734
623.8 IPS |
|
Face Detection (SP)
|
100% |
21554
256.1 IPS |
|
Face Detection (HP)
|
100% |
34434
409.1 IPS |
|
Face Detection (Q)
|
97% |
19096
227.7 IPS |
|
Depth Estimation (SP)
|
100% |
37843
291.6 IPS |
|
Depth Estimation (HP)
|
99% |
79590
613.2 IPS |
|
Depth Estimation (Q)
|
77% |
31579
252.6 IPS |
|
Style Transfer (SP)
|
100% |
142037
182.6 IPS |
|
Style Transfer (HP)
|
100% |
334258
429.7 IPS |
|
Style Transfer (Q)
|
98% |
128739
166.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
27968
1.03 KIPS |
|
Image Super-Resolution (HP)
|
100% |
45211
1.67 KIPS |
|
Image Super-Resolution (Q)
|
99% |
20998
777.5 IPS |
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
Text Classification (HP)
|
99% |
3466
4.63 KIPS |
|
Text Classification (Q)
|
97% |
1849
2.48 KIPS |
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
Machine Translation (HP)
|
100% |
4232
72.9 IPS |
|
Machine Translation (Q)
|
70% |
1869
35.1 IPS |