| User | TBayliss |
| Upload Date | July 19 2025 11:24 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
4105
763.4 IPS |
|
|
Image Classification (HP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (Q)
|
99% |
9375
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3712
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20914
24.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12712
14.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
58580
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
3989
316.4 IPS |
|
|
Object Detection (HP)
|
100% |
897
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
11761
945.2 IPS |
|
|
Face Detection (SP)
|
100% |
9013
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
12959
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13652
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3442
26.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12026
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35004
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24243
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59750
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3668
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4842
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.7 IPS |
|
|
Text Classification (Q)
|
97% |
1526
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5517
110.9 IPS |