| User | craigwood2012 |
| Upload Date | December 23 2025 12:36 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% |
3771
701.3 IPS |
|
|
Image Classification (HP)
|
100% |
7148
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9913
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6046
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3415
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11080
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34103
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74557
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
2878
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
6259
496.5 IPS |
|
|
Object Detection (Q)
|
88% |
10575
847.8 IPS |
|
|
Face Detection (SP)
|
100% |
12433
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
18939
225.0 IPS |
|
|
Face Detection (Q)
|
100% |
34424
409.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9740
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18532
142.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
34271
266.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26185
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54681
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98396
126.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16159
596.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31179
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2188
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4807
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4878
84.0 IPS |