| Upload Date | October 23 2025 04:45 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 Plus PB14250 |
| Motherboard | Dell Inc. 0CFTXM |
| 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% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
15004
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
21587
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19798
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30736
498.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
114937
134.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
257623
301.8 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
18510
1.47 KIPS |
|
|
Object Detection (Q)
|
88% |
27501
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
5637
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
44511
528.9 IPS |
|
|
Face Detection (Q)
|
100% |
93844
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4713
36.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
86540
671.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
158728
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
10355
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245644
315.8 IPS |
|
|
Style Transfer (Q)
|
98% |
374296
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41988
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78263
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3147
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3489
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9008
155.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11129
191.7 IPS |