| User | TBayliss |
| Upload Date | July 19 2025 11:29 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12057
2.24 KIPS |
|
|
Image Classification (HP)
|
100% |
13153
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
10788
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19402
314.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15925
258.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16332
265.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
103094
120.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
253984
296.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
92459
108.3 IPS |
|
|
Object Detection (SP)
|
100% |
7140
566.3 IPS |
|
|
Object Detection (HP)
|
100% |
12006
952.3 IPS |
|
|
Object Detection (Q)
|
87% |
6864
551.3 IPS |
|
|
Face Detection (SP)
|
100% |
28616
340.0 IPS |
|
|
Face Detection (HP)
|
100% |
39389
468.0 IPS |
|
|
Face Detection (Q)
|
97% |
23779
283.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
46137
355.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
66830
514.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
41687
334.3 IPS |
|
|
Style Transfer (SP)
|
100% |
196045
252.0 IPS |
|
|
Style Transfer (HP)
|
100% |
355205
456.6 IPS |
|
|
Style Transfer (Q)
|
98% |
154406
199.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34848
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46238
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26749
990.5 IPS |
|
|
Text Classification (SP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4399
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2797
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6918
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8098
139.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3257
61.1 IPS |