| User | craigwood2012 |
| Upload Date | December 23 2025 01:15 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% |
5378
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7297
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10185
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6178
100.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10943
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34183
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75425
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
3417
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
6229
494.1 IPS |
|
|
Object Detection (Q)
|
88% |
10490
841.0 IPS |
|
|
Face Detection (SP)
|
100% |
11515
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
18625
221.3 IPS |
|
|
Face Detection (Q)
|
100% |
34033
404.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11309
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18620
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34144
265.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25456
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53792
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97784
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16327
602.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31368
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2141
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4844
83.4 IPS |