| User | craigwood2012 |
| Upload Date | December 22 2025 05:58 PM |
| Views | 7 |
| 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 Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5426
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
7282
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10309
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7612
123.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12576
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33959
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74933
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
5089
403.7 IPS |
|
|
Object Detection (HP)
|
100% |
6219
493.3 IPS |
|
|
Object Detection (Q)
|
88% |
10563
846.8 IPS |
|
|
Face Detection (SP)
|
100% |
15417
183.2 IPS |
|
|
Face Detection (HP)
|
100% |
18814
223.6 IPS |
|
|
Face Detection (Q)
|
100% |
34203
406.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13192
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18560
143.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34147
265.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30740
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54125
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97563
125.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7252
267.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16201
598.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31238
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2199
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4725
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4827
83.2 IPS |