| User | cuber |
| Upload Date | October 28 2025 10:05 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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(R) Core(TM) 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% |
4154
772.5 IPS |
|
|
Image Classification (HP)
|
100% |
3115
579.3 IPS |
|
|
Image Classification (Q)
|
100% |
10362
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5178
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12409
201.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7780
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
5169
6.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
29396
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (HP)
|
100% |
2882
228.6 IPS |
|
|
Object Detection (Q)
|
88% |
10656
854.2 IPS |
|
|
Face Detection (SP)
|
100% |
10679
126.9 IPS |
|
|
Face Detection (HP)
|
100% |
9141
108.6 IPS |
|
|
Face Detection (Q)
|
100% |
27836
330.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9219
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7030
54.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28262
219.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22588
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15261
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84988
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3174
117.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16628
615.8 IPS |
|
|
Text Classification (SP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5992
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5084
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5088
87.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4943
85.1 IPS |