| Upload Date | November 13 2025 11:01 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% |
7360
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7354
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
17889
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4591
74.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4302
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8764
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27164
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27313
31.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
110719
129.6 IPS |
|
|
Object Detection (SP)
|
100% |
8559
678.9 IPS |
|
|
Object Detection (HP)
|
100% |
8500
674.2 IPS |
|
|
Object Detection (Q)
|
88% |
20014
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
19478
231.4 IPS |
|
|
Face Detection (HP)
|
100% |
19193
228.1 IPS |
|
|
Face Detection (Q)
|
100% |
60987
724.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25285
194.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25233
194.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67019
521.5 IPS |
|
|
Style Transfer (SP)
|
100% |
66023
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66311
85.2 IPS |
|
|
Style Transfer (Q)
|
98% |
257606
332.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13972
515.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14081
519.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37758
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4833
6.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4839
6.46 KIPS |
|
|
Text Classification (Q)
|
92% |
5918
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
8679
149.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8703
149.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10041
173.0 IPS |