| Upload Date | November 13 2025 10:58 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% |
7095
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7343
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18082
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4331
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8664
140.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27200
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27219
31.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
111729
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
8369
663.9 IPS |
|
|
Object Detection (HP)
|
100% |
8138
645.5 IPS |
|
|
Object Detection (Q)
|
88% |
20508
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
20038
238.1 IPS |
|
|
Face Detection (HP)
|
100% |
19392
230.4 IPS |
|
|
Face Detection (Q)
|
100% |
60867
723.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25162
193.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24706
190.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
67563
525.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66080
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66485
85.5 IPS |
|
|
Style Transfer (Q)
|
98% |
258220
333.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13295
490.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14064
519.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38363
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6005
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
8791
151.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8781
151.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10239
176.4 IPS |