| User | craigwood2012 |
| Upload Date | December 23 2025 12:58 AM |
| Views | 8 |
| 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% |
3621
673.3 IPS |
|
|
Image Classification (HP)
|
100% |
7305
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10367
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6523
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12596
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34187
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
75325
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
4686
371.7 IPS |
|
|
Object Detection (HP)
|
100% |
6187
490.8 IPS |
|
|
Object Detection (Q)
|
88% |
10534
844.5 IPS |
|
|
Face Detection (SP)
|
100% |
10040
119.3 IPS |
|
|
Face Detection (HP)
|
100% |
18868
224.2 IPS |
|
|
Face Detection (Q)
|
100% |
34780
413.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10570
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18639
143.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34388
267.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27110
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54553
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97952
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4439
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16244
599.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31359
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4860
83.7 IPS |