| Upload Date | November 09 2025 09:13 AM |
| Views | 4 |
| 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% |
7298
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7376
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18259
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4624
75.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8812
142.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27179
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27535
32.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
112892
132.2 IPS |
|
|
Object Detection (SP)
|
100% |
8539
677.3 IPS |
|
|
Object Detection (HP)
|
100% |
8565
679.4 IPS |
|
|
Object Detection (Q)
|
88% |
20402
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
19442
231.0 IPS |
|
|
Face Detection (HP)
|
100% |
19338
229.8 IPS |
|
|
Face Detection (Q)
|
100% |
61631
732.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25279
194.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25440
196.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
67351
524.1 IPS |
|
|
Style Transfer (SP)
|
100% |
66293
85.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67188
86.4 IPS |
|
|
Style Transfer (Q)
|
98% |
259032
334.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14205
524.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14190
524.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38324
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4953
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4966
6.63 KIPS |
|
|
Text Classification (Q)
|
92% |
5990
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
8786
151.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8787
151.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10121
174.3 IPS |