| User | dgbrownnt |
| Upload Date | September 20 2025 05:10 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| 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% |
3898
725.0 IPS |
|
|
Image Classification (HP)
|
100% |
4469
831.0 IPS |
|
|
Image Classification (Q)
|
100% |
15165
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5812
94.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11041
179.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9157
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9799
11.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
40094
46.9 IPS |
|
|
Object Detection (SP)
|
100% |
3860
306.2 IPS |
|
|
Object Detection (HP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (Q)
|
88% |
12594
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (HP)
|
100% |
8975
106.6 IPS |
|
|
Face Detection (Q)
|
100% |
27800
330.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9837
75.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11727
90.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
20961
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25176
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24416
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88839
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5702
210.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18111
670.7 IPS |
|
|
Text Classification (SP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
6079
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5624
96.9 IPS |
|
|
Machine Translation (Q)
|
100% |
8589
147.9 IPS |