| User | craigwood2012 |
| Upload Date | December 22 2025 10:19 PM |
| Views | 6 |
| 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 | Ultimate 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% |
5721
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
7139
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10091
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6306
102.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13100
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34183
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75321
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5292
419.7 IPS |
|
|
Object Detection (HP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (Q)
|
88% |
10390
833.0 IPS |
|
|
Face Detection (SP)
|
100% |
15891
188.8 IPS |
|
|
Face Detection (HP)
|
100% |
18802
223.4 IPS |
|
|
Face Detection (Q)
|
100% |
34147
405.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10804
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18660
143.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34441
268.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28409
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54173
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97710
126.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7840
289.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16356
604.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32425
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2146
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4797
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4863
83.8 IPS |