| Upload Date | November 13 2025 10:53 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 | 62.56 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7385
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7385
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18234
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4478
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4324
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9059
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27854
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27900
32.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
113323
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
8544
677.7 IPS |
|
|
Object Detection (HP)
|
100% |
8590
681.4 IPS |
|
|
Object Detection (Q)
|
88% |
20274
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19445
231.0 IPS |
|
|
Face Detection (HP)
|
100% |
19364
230.1 IPS |
|
|
Face Detection (Q)
|
100% |
62008
736.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25439
196.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25418
195.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67837
527.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66360
85.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67286
86.5 IPS |
|
|
Style Transfer (Q)
|
98% |
260824
336.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13817
510.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14194
524.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38280
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4840
6.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5969
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
8760
150.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8771
151.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10176
175.3 IPS |