| User | craigwood2012 |
| Upload Date | December 22 2025 10:18 PM |
| Views | 5 |
| 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% |
3806
707.8 IPS |
|
|
Image Classification (HP)
|
100% |
7163
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10029
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7533
122.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13328
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34247
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75401
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
5456
432.7 IPS |
|
|
Object Detection (HP)
|
100% |
6194
491.3 IPS |
|
|
Object Detection (Q)
|
88% |
10419
835.3 IPS |
|
|
Face Detection (SP)
|
100% |
16188
192.3 IPS |
|
|
Face Detection (HP)
|
100% |
19089
226.8 IPS |
|
|
Face Detection (Q)
|
100% |
34681
412.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12270
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18602
143.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34265
266.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31247
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54293
69.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98520
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7859
290.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16358
604.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32095
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4830
83.2 IPS |