| User | dgbrownnt |
| Upload Date | September 20 2025 05:08 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTR Pro |
| Motherboard | AZW GTR Pro |
| Power Plan | Balanced |
| 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% |
12711
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
13857
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11408
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20288
328.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16232
263.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16850
274.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107689
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
247198
288.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
95826
112.2 IPS |
|
|
Object Detection (SP)
|
100% |
6172
489.6 IPS |
|
|
Object Detection (HP)
|
100% |
13330
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
5755
462.2 IPS |
|
|
Face Detection (SP)
|
100% |
23552
279.8 IPS |
|
|
Face Detection (HP)
|
100% |
46439
551.8 IPS |
|
|
Face Detection (Q)
|
97% |
18307
218.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
40786
314.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72939
562.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
44545
357.2 IPS |
|
|
Style Transfer (SP)
|
100% |
210070
270.0 IPS |
|
|
Style Transfer (HP)
|
100% |
376164
483.6 IPS |
|
|
Style Transfer (Q)
|
98% |
165923
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40418
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56099
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31602
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4284
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4512
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2910
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
7030
121.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8034
138.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2327
43.6 IPS |