| User | craigwood2012 |
| Upload Date | December 23 2025 01:03 AM |
| Views | 6 |
| 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% |
5906
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10008
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7305
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13353
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34021
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75195
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
3731
295.9 IPS |
|
|
Object Detection (HP)
|
100% |
6224
493.7 IPS |
|
|
Object Detection (Q)
|
88% |
10372
831.6 IPS |
|
|
Face Detection (SP)
|
100% |
11883
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
18836
223.8 IPS |
|
|
Face Detection (Q)
|
100% |
34488
409.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12148
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18584
143.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34672
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28374
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54442
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98333
126.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16311
602.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31956
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3675
4.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2166
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4843
83.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4850
83.5 IPS |