| Upload Date | October 23 2025 04:47 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Premium PA14250 |
| Motherboard | Dell Inc. 0JT1RM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (HP)
|
100% |
15687
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
22279
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20007
324.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
34235
555.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2854
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
115556
134.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
260055
304.6 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
18491
1.47 KIPS |
|
|
Object Detection (Q)
|
88% |
28241
2.26 KIPS |
|
|
Face Detection (SP)
|
100% |
4783
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
44332
526.8 IPS |
|
|
Face Detection (Q)
|
100% |
96170
1.14 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4183
32.2 IPS |
|
|
Depth Estimation (HP)
|
92% |
86653
672.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
167091
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
8696
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
248478
319.4 IPS |
|
|
Style Transfer (Q)
|
98% |
426529
550.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1792
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43641
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79831
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3172
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3996
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8816
151.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10567
182.0 IPS |