| User | Tbeachly |
| Upload Date | May 15 2025 08:33 PM |
| Views | 8 |
| 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. ASUS TUF Gaming A16 FA608WI_FA608WI |
| Motherboard | ASUSTeK COMPUTER INC. FA608WI |
| Power Plan | Silent |
| 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% |
2500
464.9 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
99% |
6546
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3316
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8115
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
28841
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
7284
585.4 IPS |
|
|
Face Detection (SP)
|
100% |
5786
68.8 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
10406
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7653
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2461
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9394
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15594
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15458
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32145
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1984
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3461
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
593
791.8 IPS |
|
|
Text Classification (Q)
|
97% |
1449
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2941
59.1 IPS |