| Upload Date | November 19 2025 09:37 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ302EA_GZ302EA |
| Motherboard | ASUSTeK COMPUTER INC. GZ302EA |
| Power Plan | Silent |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4639
862.7 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
99% |
9897
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13357
217.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11688
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8880
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
41677
48.9 IPS |
|
|
Object Detection (SP)
|
100% |
4661
369.7 IPS |
|
|
Object Detection (HP)
|
100% |
866
68.7 IPS |
|
|
Object Detection (Q)
|
86% |
11886
955.2 IPS |
|
|
Face Detection (SP)
|
100% |
10732
127.5 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
12394
147.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13925
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2876
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10392
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25575
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21735
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47591
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3091
114.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1649
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3675
73.8 IPS |