| User | craigwood2012 |
| Upload Date | December 22 2025 05:56 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% |
4298
799.4 IPS |
|
|
Image Classification (HP)
|
100% |
7187
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10126
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6132
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10680
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34238
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75146
88.0 IPS |
|
|
Object Detection (SP)
|
100% |
5067
401.9 IPS |
|
|
Object Detection (HP)
|
100% |
6176
489.9 IPS |
|
|
Object Detection (Q)
|
88% |
10464
838.9 IPS |
|
|
Face Detection (SP)
|
100% |
13256
157.5 IPS |
|
|
Face Detection (HP)
|
100% |
18836
223.8 IPS |
|
|
Face Detection (Q)
|
100% |
34076
404.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13354
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18520
142.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34041
264.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35639
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54314
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98043
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7374
272.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16309
602.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32149
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2214
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4797
82.6 IPS |