| User | IMaT_UoA |
| Upload Date | October 28 2025 12:05 PM |
| Views | 2 |
| 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% |
3951
734.9 IPS |
|
|
Image Classification (HP)
|
99% |
9328
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
3762
701.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6512
105.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11957
193.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6408
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30619
35.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
104884
122.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
26762
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
4590
364.1 IPS |
|
|
Object Detection (HP)
|
100% |
10153
805.3 IPS |
|
|
Object Detection (Q)
|
84% |
4118
332.1 IPS |
|
|
Face Detection (SP)
|
100% |
9882
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
19774
235.0 IPS |
|
|
Face Detection (Q)
|
97% |
8677
103.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20310
156.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55146
424.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16678
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
58823
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238458
306.5 IPS |
|
|
Style Transfer (Q)
|
98% |
51435
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14986
553.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27501
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10815
400.5 IPS |
|
|
Text Classification (SP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3389
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1651
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1634
30.6 IPS |