| Upload Date | November 08 2025 12:28 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 | 31.11 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7368
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7380
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18203
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9940
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9903
160.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28964
469.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27659
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
27786
32.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
112016
131.1 IPS |
|
|
Object Detection (SP)
|
100% |
8571
679.8 IPS |
|
|
Object Detection (HP)
|
100% |
8534
676.9 IPS |
|
|
Object Detection (Q)
|
88% |
20428
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
20070
238.5 IPS |
|
|
Face Detection (HP)
|
100% |
19880
236.2 IPS |
|
|
Face Detection (Q)
|
100% |
61738
733.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25362
195.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25326
195.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
67811
527.7 IPS |
|
|
Style Transfer (SP)
|
100% |
66479
85.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67056
86.2 IPS |
|
|
Style Transfer (Q)
|
98% |
258342
333.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13624
503.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13985
516.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38455
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4958
6.62 KIPS |
|
|
Text Classification (Q)
|
92% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
8825
152.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8823
152.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10216
176.0 IPS |