| Upload Date | November 15 2025 03:28 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4260
792.3 IPS |
|
|
Image Classification (HP)
|
100% |
4735
880.6 IPS |
|
|
Image Classification (Q)
|
100% |
12315
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5124
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3586
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8848
143.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9760
11.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
35711
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
4010
318.1 IPS |
|
|
Object Detection (Q)
|
88% |
13386
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
9979
118.6 IPS |
|
|
Face Detection (HP)
|
100% |
10837
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
27729
329.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9372
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10864
83.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
27654
215.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25753
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25536
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
102984
132.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5461
201.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20688
766.2 IPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4324
5.77 KIPS |
|
|
Text Classification (Q)
|
92% |
6423
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6254
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5565
95.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9592
165.2 IPS |