| User | leow149 |
| Upload Date | July 28 2025 04:29 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Dell Inc. Precision 3591 |
| Motherboard | Dell Inc. 0VC7JN |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
1473
274.0 IPS |
|
|
Image Classification (Q)
|
100% |
4015
746.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4460
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3162
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
11517
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (Q)
|
88% |
4007
321.2 IPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
3367
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
7816
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3511
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3937
30.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11227
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9936
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10895
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33644
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6351
235.2 IPS |
|
|
Text Classification (SP)
|
100% |
1755
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2831
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1668
28.7 IPS |