| Upload Date | November 11 2025 10:39 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% |
7403
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7373
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18170
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9904
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9904
160.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28991
470.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27134
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27329
31.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
110375
129.2 IPS |
|
|
Object Detection (SP)
|
100% |
8450
670.3 IPS |
|
|
Object Detection (HP)
|
100% |
8468
671.7 IPS |
|
|
Object Detection (Q)
|
88% |
20354
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19749
234.7 IPS |
|
|
Face Detection (HP)
|
100% |
19974
237.3 IPS |
|
|
Face Detection (Q)
|
100% |
61423
729.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25507
196.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25327
195.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67018
521.5 IPS |
|
|
Style Transfer (SP)
|
100% |
66021
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66190
85.1 IPS |
|
|
Style Transfer (Q)
|
98% |
259309
334.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14014
517.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14074
519.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38549
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4909
6.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5961
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
8676
149.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8666
149.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10077
173.6 IPS |