| User | craigwood2012 |
| Upload Date | December 22 2025 09:40 PM |
| 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% |
4957
921.8 IPS |
|
|
Image Classification (HP)
|
100% |
7338
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10171
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7976
129.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13228
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34990
40.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75288
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
3446
273.3 IPS |
|
|
Object Detection (HP)
|
100% |
6207
492.4 IPS |
|
|
Object Detection (Q)
|
88% |
10510
842.6 IPS |
|
|
Face Detection (SP)
|
100% |
13098
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
18190
216.1 IPS |
|
|
Face Detection (Q)
|
100% |
34382
408.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13870
106.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18728
144.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34663
269.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26145
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54695
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
99546
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8072
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16460
607.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31595
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2241
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4812
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4868
83.9 IPS |