| User | sm4215 |
| Upload Date | October 29 2025 12:04 AM |
| Views | 3 |
| 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 | 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% |
4115
765.3 IPS |
|
|
Image Classification (HP)
|
100% |
4486
834.2 IPS |
|
|
Image Classification (Q)
|
100% |
9374
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3299
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4127
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12628
204.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9736
11.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
35667
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
3610
286.4 IPS |
|
|
Object Detection (HP)
|
100% |
4184
331.9 IPS |
|
|
Object Detection (Q)
|
88% |
11680
936.3 IPS |
|
|
Face Detection (SP)
|
100% |
8187
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
9858
117.1 IPS |
|
|
Face Detection (Q)
|
100% |
26306
312.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7659
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9440
72.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
23540
183.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23854
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24035
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81057
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16394
607.1 IPS |
|
|
Text Classification (SP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6037
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5323
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6977
120.2 IPS |