| User | Quirinus |
| Upload Date | December 20 2025 03:56 AM |
| Views | 4 |
| 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 | Bosgame BeyondMax Series |
| Motherboard | Bosgame AXB35-02 |
| Power Plan | Bilanciato |
| 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% |
4826
897.5 IPS |
|
|
Image Classification (HP)
|
100% |
4922
915.4 IPS |
|
|
Image Classification (Q)
|
100% |
15059
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4496
72.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4543
73.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9523
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9419
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
9440
11.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
36311
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
4719
374.3 IPS |
|
|
Object Detection (HP)
|
100% |
3498
277.4 IPS |
|
|
Object Detection (Q)
|
88% |
14558
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
9637
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
12563
149.3 IPS |
|
|
Face Detection (Q)
|
100% |
29802
354.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11084
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8810
67.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
29764
231.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25755
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23888
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71086
91.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5186
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5392
199.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12615
467.2 IPS |
|
|
Text Classification (SP)
|
100% |
3825
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6180
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5726
98.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6969
120.0 IPS |