| User | rafsanlab |
| Upload Date | March 26 2026 01:01 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CORSAIR CORSAIR AI WORKSTATION 300 |
| Motherboard | CORSAIR CORSAIR AI WORKSTATION 300 |
| 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% |
4149
771.6 IPS |
|
|
Image Classification (HP)
|
100% |
4382
814.8 IPS |
|
|
Image Classification (Q)
|
100% |
14557
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3853
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5127
83.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11286
183.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10484
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
33926
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
4709
373.5 IPS |
|
|
Object Detection (Q)
|
88% |
15063
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
8936
106.2 IPS |
|
|
Face Detection (HP)
|
100% |
9704
115.3 IPS |
|
|
Face Detection (Q)
|
100% |
22555
268.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9461
72.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9722
74.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
26449
205.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25893
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26619
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
87918
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6198
228.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15563
576.4 IPS |
|
|
Text Classification (SP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
92% |
6264
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5603
96.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9258
159.5 IPS |