| User | IMaT_UoA |
| Upload Date | October 28 2025 12:13 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook 8 G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8D94 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3947
734.0 IPS |
|
|
Image Classification (HP)
|
99% |
9180
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
3621
675.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8306
134.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12480
202.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5774
93.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30949
36.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
108608
126.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
26862
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
4834
383.4 IPS |
|
|
Object Detection (HP)
|
100% |
10116
802.4 IPS |
|
|
Object Detection (Q)
|
84% |
4012
323.6 IPS |
|
|
Face Detection (SP)
|
100% |
9582
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
18386
218.5 IPS |
|
|
Face Detection (Q)
|
97% |
8250
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21197
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46721
360.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
15838
126.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56170
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208691
268.3 IPS |
|
|
Style Transfer (Q)
|
98% |
49758
64.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18060
666.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29364
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10725
397.1 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3579
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1556
29.2 IPS |