| Upload Date | November 07 2025 06:34 PM |
| Views | 5 |
| 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% |
7431
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7413
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18172
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4538
73.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4381
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8719
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27818
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27903
32.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
113335
132.7 IPS |
|
|
Object Detection (SP)
|
100% |
8596
681.8 IPS |
|
|
Object Detection (HP)
|
100% |
8557
678.8 IPS |
|
|
Object Detection (Q)
|
88% |
20749
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
19499
231.7 IPS |
|
|
Face Detection (HP)
|
100% |
19539
232.2 IPS |
|
|
Face Detection (Q)
|
100% |
62286
740.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25412
195.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25398
195.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67792
527.6 IPS |
|
|
Style Transfer (SP)
|
100% |
66818
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67702
87.0 IPS |
|
|
Style Transfer (Q)
|
98% |
259702
334.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13703
506.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14084
520.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38312
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4874
6.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4872
6.50 KIPS |
|
|
Text Classification (Q)
|
92% |
6050
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
8827
152.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8832
152.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10248
176.5 IPS |