| Upload Date | December 01 2025 09:35 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2560
476.2 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.4 IPS |
|
|
Image Classification (Q)
|
100% |
5741
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3253
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7370
119.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5010
5.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
21434
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (Q)
|
88% |
6484
519.8 IPS |
|
|
Face Detection (SP)
|
100% |
6079
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
6407
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
13023
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6052
46.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
15693
122.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16427
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14401
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52351
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2658
98.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9086
336.5 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3915
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2050
35.3 IPS |