| Upload Date | October 23 2025 09:30 AM |
| 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 | 125.07 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7364
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7284
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
18440
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4574
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8898
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28087
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
28165
32.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
113868
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
8552
678.4 IPS |
|
|
Object Detection (HP)
|
100% |
8611
683.0 IPS |
|
|
Object Detection (Q)
|
88% |
20370
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19512
231.8 IPS |
|
|
Face Detection (HP)
|
100% |
19513
231.9 IPS |
|
|
Face Detection (Q)
|
100% |
62653
744.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25712
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25748
198.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67985
529.1 IPS |
|
|
Style Transfer (SP)
|
100% |
67489
86.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67928
87.3 IPS |
|
|
Style Transfer (Q)
|
98% |
261921
337.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14243
525.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14209
524.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38756
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4895
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4877
6.51 KIPS |
|
|
Text Classification (Q)
|
92% |
6063
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
8868
152.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8790
151.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10253
176.6 IPS |