| User | craigwood2012 |
| Upload Date | December 23 2025 01:10 AM |
| Views | 4 |
| 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% |
5928
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
7162
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10036
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7925
128.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12587
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34130
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75009
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
5113
405.6 IPS |
|
|
Object Detection (HP)
|
100% |
6151
487.9 IPS |
|
|
Object Detection (Q)
|
88% |
10569
847.3 IPS |
|
|
Face Detection (SP)
|
100% |
16408
195.0 IPS |
|
|
Face Detection (HP)
|
100% |
18917
224.8 IPS |
|
|
Face Detection (Q)
|
100% |
34611
411.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13972
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18559
143.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34250
266.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26914
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53949
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97254
125.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6568
242.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16261
600.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31728
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2174
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3969
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4797
82.6 IPS |