| User | TechFi |
| Upload Date | July 02 2025 12:27 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (8GB) (iGPU) |
| 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(R) Core(TM) 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6837
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
11747
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
15729
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6674
108.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17454
282.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21239
344.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23828
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
85705
100.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
166527
195.0 IPS |
|
|
Object Detection (SP)
|
100% |
6253
496.0 IPS |
|
|
Object Detection (HP)
|
100% |
12621
1.00 KIPS |
|
|
Object Detection (Q)
|
88% |
15536
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
9078
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
21086
250.5 IPS |
|
|
Face Detection (Q)
|
100% |
33150
393.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19733
152.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44394
342.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
58504
454.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57733
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
147552
189.7 IPS |
|
|
Style Transfer (Q)
|
98% |
221259
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9783
361.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27053
998.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33612
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.28 KIPS |
|
|
Text Classification (Q)
|
92% |
2793
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2944
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5691
98.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5917
101.9 IPS |