| User | craigwood2012 |
| Upload Date | December 23 2025 12:48 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% |
4085
759.8 IPS |
|
|
Image Classification (HP)
|
100% |
7136
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10155
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5553
90.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13293
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34010
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
74726
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (HP)
|
100% |
6210
492.6 IPS |
|
|
Object Detection (Q)
|
88% |
10491
841.1 IPS |
|
|
Face Detection (SP)
|
100% |
11768
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
18751
222.8 IPS |
|
|
Face Detection (Q)
|
100% |
34108
405.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11646
89.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18677
143.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34245
266.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27544
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54798
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
98200
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7803
288.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16282
601.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31425
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4812
82.9 IPS |