| User | TBayliss |
| Upload Date | April 29 2025 02:56 PM |
| Views | 6 |
| 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 | PD Turbo |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
4474
832.0 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
10155
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2886
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13417
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9915
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
42066
49.3 IPS |
|
|
Object Detection (SP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (HP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (Q)
|
86% |
8075
649.0 IPS |
|
|
Face Detection (SP)
|
100% |
8295
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (Q)
|
97% |
7927
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10256
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2509
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9124
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24524
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22459
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
49360
63.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3285
121.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1969
72.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2637
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.5 IPS |
|
|
Text Classification (Q)
|
97% |
1030
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.59 IPS |
|
|
Machine Translation (Q)
|
65% |
2433
48.9 IPS |