| User | decryp7 |
| Upload Date | October 11 2025 02:16 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | AZW GTR Pro |
| Motherboard | AZW GTR Pro |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.44 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5858
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
5812
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
14856
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6866
111.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7358
119.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22442
363.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16203
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17097
19.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
82083
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
6851
543.5 IPS |
|
|
Object Detection (HP)
|
100% |
6499
515.5 IPS |
|
|
Object Detection (Q)
|
88% |
16175
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
15734
187.0 IPS |
|
|
Face Detection (HP)
|
100% |
15767
187.3 IPS |
|
|
Face Detection (Q)
|
100% |
49374
586.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19278
148.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18433
142.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
54465
423.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42242
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48763
62.7 IPS |
|
|
Style Transfer (Q)
|
98% |
159926
206.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9940
367.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9365
345.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29993
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
92% |
5552
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
7626
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7456
128.4 IPS |
|
|
Machine Translation (Q)
|
100% |
8503
146.5 IPS |