| Upload Date | November 12 2025 05:01 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| 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 | Turbo |
| 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% |
4504
837.6 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.7 IPS |
|
|
Image Classification (Q)
|
99% |
10201
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14654
238.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14082
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10571
12.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
40571
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
4128
327.4 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
86% |
11949
960.4 IPS |
|
|
Face Detection (SP)
|
100% |
9309
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
12249
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12865
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2770
21.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9735
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24476
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21615
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
47386
61.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2929
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2630
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4163
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1436
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3079
61.9 IPS |