| Upload Date | November 13 2025 10:57 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% |
7175
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7118
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
18026
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4490
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4260
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8701
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27262
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27423
32.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
111736
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
8332
660.9 IPS |
|
|
Object Detection (HP)
|
100% |
8524
676.2 IPS |
|
|
Object Detection (Q)
|
88% |
20475
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
19341
229.8 IPS |
|
|
Face Detection (HP)
|
100% |
19401
230.5 IPS |
|
|
Face Detection (Q)
|
100% |
60732
721.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25469
196.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25322
195.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67230
523.2 IPS |
|
|
Style Transfer (SP)
|
100% |
66423
85.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66681
85.7 IPS |
|
|
Style Transfer (Q)
|
98% |
258366
333.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14026
517.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14201
524.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38356
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4890
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4866
6.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5954
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
8813
151.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8838
152.2 IPS |
|
|
Machine Translation (Q)
|
100% |
10321
177.8 IPS |