Upload Date | November 19 2024 07:15 AM |
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 Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ASUS Zenbook S 16 UM5606WA_UM5606WA |
Motherboard | ASUSTeK COMPUTER INC. UM5606WA |
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% |
1539
286.2 IPS |
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
Image Classification (Q)
|
99% |
4123
768.9 IPS |
|
Image Segmentation (SP)
|
100% |
854
13.8 IPS |
|
Image Segmentation (HP)
|
100% |
811
13.2 IPS |
|
Image Segmentation (Q)
|
98% |
2767
45.0 IPS |
|
Pose Estimation (SP)
|
100% |
7412
8.65 IPS |
|
Pose Estimation (HP)
|
100% |
5700
6.65 IPS |
|
Pose Estimation (Q)
|
95% |
25713
30.1 IPS |
|
Object Detection (SP)
|
100% |
1967
156.1 IPS |
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
Object Detection (Q)
|
88% |
2218
177.8 IPS |
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
Face Detection (Q)
|
97% |
5845
69.7 IPS |
|
Depth Estimation (SP)
|
100% |
7049
54.3 IPS |
|
Depth Estimation (HP)
|
99% |
2319
17.9 IPS |
|
Depth Estimation (Q)
|
77% |
5400
43.2 IPS |
|
Style Transfer (SP)
|
100% |
16845
21.7 IPS |
|
Style Transfer (HP)
|
100% |
14216
18.3 IPS |
|
Style Transfer (Q)
|
98% |
30350
39.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
2580
95.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
Image Super-Resolution (Q)
|
99% |
3704
137.2 IPS |
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
Text Classification (HP)
|
100% |
700
934.1 IPS |
|
Text Classification (Q)
|
97% |
1541
2.06 KIPS |
|
Machine Translation (SP)
|
100% |
1890
32.5 IPS |
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
Machine Translation (Q)
|
60% |
2080
46.4 IPS |