| User | Nghayward |
| Upload Date | February 07 2026 12:53 PM |
| Views | 6 |
| 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 | GEEKOM A9 Mega |
| Motherboard | Standard A9 Mega |
| 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% |
4473
831.9 IPS |
|
|
Image Classification (HP)
|
100% |
4132
768.4 IPS |
|
|
Image Classification (Q)
|
100% |
12743
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5412
87.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4143
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11056
179.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9834
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10322
12.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
34716
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3663
290.6 IPS |
|
|
Object Detection (HP)
|
100% |
3874
307.2 IPS |
|
|
Object Detection (Q)
|
88% |
11302
906.0 IPS |
|
|
Face Detection (SP)
|
100% |
8681
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
7125
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
25355
301.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9037
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10092
77.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
29182
227.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25294
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26477
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85117
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5186
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4655
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15278
565.8 IPS |
|
|
Text Classification (SP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6695
8.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8460
145.7 IPS |