| User | craigwood2012 |
| Upload Date | December 23 2025 01:08 AM |
| Views | 3 |
| 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% |
5839
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
7366
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10361
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7726
125.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13028
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34128
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75002
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
5604
444.5 IPS |
|
|
Object Detection (HP)
|
100% |
6198
491.7 IPS |
|
|
Object Detection (Q)
|
88% |
10516
843.0 IPS |
|
|
Face Detection (SP)
|
100% |
16433
195.3 IPS |
|
|
Face Detection (HP)
|
100% |
18701
222.2 IPS |
|
|
Face Detection (Q)
|
100% |
34501
410.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13679
105.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18350
141.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33753
262.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25124
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54534
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
98399
126.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16393
605.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31531
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4845
83.5 IPS |