| Upload Date | January 27 2026 03:06 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Premium PA14250 |
| Motherboard | Dell Inc. 0Y1TG5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.4 IPS |
|
|
Image Classification (Q)
|
100% |
4492
835.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2375
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2738
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
10784
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1438
114.0 IPS |
|
|
Object Detection (HP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (Q)
|
88% |
4645
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (Q)
|
100% |
7096
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3975
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2781
21.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11980
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8443
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5572
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
30899
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6184
229.0 IPS |
|
|
Text Classification (SP)
|
100% |
1760
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (Q)
|
92% |
3666
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2801
48.2 IPS |