| User | craigwood2012 |
| Upload Date | December 23 2025 12:59 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% |
4420
822.0 IPS |
|
|
Image Classification (HP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10192
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5646
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33794
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75423
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
3266
259.1 IPS |
|
|
Object Detection (HP)
|
100% |
6221
493.4 IPS |
|
|
Object Detection (Q)
|
88% |
10487
840.8 IPS |
|
|
Face Detection (SP)
|
100% |
15533
184.6 IPS |
|
|
Face Detection (HP)
|
100% |
19134
227.4 IPS |
|
|
Face Detection (Q)
|
100% |
34608
411.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10050
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18628
143.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34621
269.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29565
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54855
70.5 IPS |
|
|
Style Transfer (Q)
|
98% |
99450
128.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16303
602.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31980
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2218
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4601
79.2 IPS |