| User | craigwood2012 |
| Upload Date | December 23 2025 01:05 AM |
| 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% |
4551
846.4 IPS |
|
|
Image Classification (HP)
|
100% |
7315
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10154
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6376
103.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11408
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34169
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75177
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
5533
438.9 IPS |
|
|
Object Detection (HP)
|
100% |
6279
498.0 IPS |
|
|
Object Detection (Q)
|
88% |
10586
848.7 IPS |
|
|
Face Detection (SP)
|
100% |
15625
185.7 IPS |
|
|
Face Detection (HP)
|
100% |
18928
224.9 IPS |
|
|
Face Detection (Q)
|
100% |
34414
408.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14078
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18536
142.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34067
265.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27386
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54204
69.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96190
124.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8016
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16257
600.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31532
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2256
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4871
83.9 IPS |