| Upload Date | November 19 2025 09:39 AM |
| Views | 4 |
| 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% |
4632
861.5 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.3 IPS |
|
|
Image Classification (Q)
|
99% |
10566
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13520
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12193
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9045
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
40874
47.9 IPS |
|
|
Object Detection (SP)
|
100% |
4817
382.1 IPS |
|
|
Object Detection (HP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (Q)
|
86% |
11692
939.6 IPS |
|
|
Face Detection (SP)
|
100% |
10847
128.9 IPS |
|
|
Face Detection (HP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
12326
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13820
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3138
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10301
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26448
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21236
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46504
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3165
116.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1623
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3984
80.1 IPS |