| User | RAGEPRO |
| Upload Date | September 17 2025 10:00 AM |
| Views | 5 |
| 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 | Balanced |
| 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% |
4431
824.0 IPS |
|
|
Image Classification (HP)
|
100% |
3957
735.9 IPS |
|
|
Image Classification (Q)
|
100% |
11358
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3854
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4770
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13305
215.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9778
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9626
11.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
30614
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4127
327.3 IPS |
|
|
Object Detection (HP)
|
100% |
4163
330.2 IPS |
|
|
Object Detection (Q)
|
88% |
9468
759.0 IPS |
|
|
Face Detection (SP)
|
100% |
9954
118.3 IPS |
|
|
Face Detection (HP)
|
100% |
9953
118.3 IPS |
|
|
Face Detection (Q)
|
100% |
27992
332.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12281
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11512
88.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
28832
224.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21629
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23559
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
95990
123.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14850
549.9 IPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
92% |
6477
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5766
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6165
106.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7730
133.1 IPS |