| Upload Date | November 08 2025 07:54 PM |
| Views | 1 |
| 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% |
7385
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7418
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18343
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4624
75.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4677
75.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8694
140.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27621
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27785
32.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
113369
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
8027
636.7 IPS |
|
|
Object Detection (HP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (Q)
|
88% |
20343
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19393
230.4 IPS |
|
|
Face Detection (HP)
|
100% |
19244
228.7 IPS |
|
|
Face Detection (Q)
|
100% |
61779
734.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25233
194.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25399
195.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67876
528.2 IPS |
|
|
Style Transfer (SP)
|
100% |
65689
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66861
86.0 IPS |
|
|
Style Transfer (Q)
|
98% |
259268
334.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13884
512.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14104
520.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38469
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4963
6.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
92% |
5925
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
8719
150.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8707
150.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10064
173.4 IPS |