| Upload Date | November 12 2025 09:55 AM |
| 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% |
7439
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7425
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18204
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9978
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9937
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29156
472.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27759
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27944
32.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
112901
132.2 IPS |
|
|
Object Detection (SP)
|
100% |
8499
674.2 IPS |
|
|
Object Detection (HP)
|
100% |
8582
680.7 IPS |
|
|
Object Detection (Q)
|
88% |
20156
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
19949
237.0 IPS |
|
|
Face Detection (HP)
|
100% |
20205
240.1 IPS |
|
|
Face Detection (Q)
|
100% |
61360
729.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25420
195.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25405
195.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67005
521.4 IPS |
|
|
Style Transfer (SP)
|
100% |
66468
85.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67173
86.4 IPS |
|
|
Style Transfer (Q)
|
98% |
260041
335.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14066
519.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13839
511.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38631
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4955
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5031
6.72 KIPS |
|
|
Text Classification (Q)
|
92% |
6056
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
8740
150.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8690
149.7 IPS |
|
|
Machine Translation (Q)
|
100% |
10126
174.4 IPS |