| Upload Date | November 07 2025 06:51 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| 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 | 31.11 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7302
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
6983
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
17881
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4516
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4329
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8830
143.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27596
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27609
32.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
112655
131.9 IPS |
|
|
Object Detection (SP)
|
100% |
8512
675.2 IPS |
|
|
Object Detection (HP)
|
100% |
8444
669.8 IPS |
|
|
Object Detection (Q)
|
88% |
20353
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19408
230.6 IPS |
|
|
Face Detection (HP)
|
100% |
19421
230.8 IPS |
|
|
Face Detection (Q)
|
100% |
61999
736.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25330
195.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25351
195.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
66941
520.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66632
85.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66408
85.4 IPS |
|
|
Style Transfer (Q)
|
98% |
257466
332.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14121
521.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14182
523.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38022
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5982
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
8750
150.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8765
151.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10162
175.0 IPS |