| User | IMaT_UoA |
| Upload Date | October 28 2025 12:03 PM |
| Views | 3 |
| 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% |
3937
732.2 IPS |
|
|
Image Classification (HP)
|
99% |
9042
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
3623
675.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7859
127.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11897
192.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5759
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31498
36.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123335
143.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
26800
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
4933
391.3 IPS |
|
|
Object Detection (HP)
|
100% |
10265
814.2 IPS |
|
|
Object Detection (Q)
|
84% |
4211
339.6 IPS |
|
|
Face Detection (SP)
|
100% |
9743
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
19051
226.4 IPS |
|
|
Face Detection (Q)
|
97% |
8558
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19259
148.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46325
356.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16877
135.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59295
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
209481
269.3 IPS |
|
|
Style Transfer (Q)
|
98% |
60953
78.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15736
581.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28236
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11038
408.7 IPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3341
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1608
30.2 IPS |