User | sp33d103 |
Upload Date | January 23 2025 03:24 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
Motherboard | ASUSTeK COMPUTER INC. GA605WI |
Power Plan | Balanced |
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% |
3133
582.7 IPS |
|
Image Classification (HP)
|
100% |
578
107.5 IPS |
|
Image Classification (Q)
|
99% |
7580
1.41 KIPS |
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
Image Segmentation (HP)
|
100% |
888
14.4 IPS |
|
Image Segmentation (Q)
|
98% |
3200
52.0 IPS |
|
Pose Estimation (SP)
|
100% |
8155
9.52 IPS |
|
Pose Estimation (HP)
|
100% |
6525
7.61 IPS |
|
Pose Estimation (Q)
|
94% |
28320
33.2 IPS |
|
Object Detection (SP)
|
100% |
3167
251.2 IPS |
|
Object Detection (HP)
|
100% |
727
57.7 IPS |
|
Object Detection (Q)
|
86% |
8081
649.4 IPS |
|
Face Detection (SP)
|
100% |
5463
64.9 IPS |
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
Face Detection (Q)
|
97% |
11179
133.3 IPS |
|
Depth Estimation (SP)
|
100% |
9042
69.7 IPS |
|
Depth Estimation (HP)
|
99% |
2684
20.7 IPS |
|
Depth Estimation (Q)
|
78% |
9050
72.2 IPS |
|
Style Transfer (SP)
|
100% |
18014
23.2 IPS |
|
Style Transfer (HP)
|
100% |
16235
20.9 IPS |
|
Style Transfer (Q)
|
98% |
33326
43.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
2573
95.0 IPS |
|
Image Super-Resolution (HP)
|
100% |
2298
84.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
4044
149.8 IPS |
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
Text Classification (HP)
|
100% |
739
986.2 IPS |
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
Machine Translation (SP)
|
100% |
2145
36.9 IPS |
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
Machine Translation (Q)
|
65% |
3216
64.6 IPS |