| User | JootecFromMars |
| Upload Date | November 24 2025 08:58 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Alienware Alienware Aurora ACT1250 |
| Motherboard | Alienware 01CVX5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4372
813.0 IPS |
|
|
Image Classification (HP)
|
100% |
7102
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9969
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5677
92.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8454
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
34967
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74531
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
4118
326.7 IPS |
|
|
Object Detection (HP)
|
100% |
6192
491.1 IPS |
|
|
Object Detection (Q)
|
88% |
10458
838.4 IPS |
|
|
Face Detection (SP)
|
100% |
11916
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
17760
211.0 IPS |
|
|
Face Detection (Q)
|
100% |
33976
403.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10255
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18674
143.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
35251
274.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25196
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55244
71.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98703
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16264
600.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31341
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5240
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4784
82.4 IPS |