| User | craigwood2012 |
| Upload Date | December 22 2025 10:16 PM |
| Views | 5 |
| 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% |
5492
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
7384
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10276
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8022
130.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3440
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13198
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34174
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75607
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
5404
428.7 IPS |
|
|
Object Detection (HP)
|
100% |
6225
493.8 IPS |
|
|
Object Detection (Q)
|
88% |
10566
847.0 IPS |
|
|
Face Detection (SP)
|
100% |
12342
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
19017
226.0 IPS |
|
|
Face Detection (Q)
|
100% |
34680
412.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14210
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18648
143.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34380
267.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26857
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54535
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
98562
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7655
282.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16456
607.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32164
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2196
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2255
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4839
83.3 IPS |