| User | tono82 |
| Upload Date | July 20 2025 12:21 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max 390 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max 390 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3815
709.5 IPS |
|
|
Image Classification (HP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (Q)
|
99% |
10063
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12343
200.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10687
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8579
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
36966
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
4114
326.4 IPS |
|
|
Object Detection (HP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (Q)
|
86% |
10506
844.3 IPS |
|
|
Face Detection (SP)
|
100% |
9682
115.0 IPS |
|
|
Face Detection (HP)
|
100% |
1815
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
11528
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11260
86.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2714
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10606
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23163
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19550
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43378
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1532
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3971
79.8 IPS |