| User | craigwood2012 |
| Upload Date | December 23 2025 12:45 AM |
| 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% |
4071
757.1 IPS |
|
|
Image Classification (HP)
|
100% |
7252
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10296
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6275
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11365
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34180
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74892
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
6203
492.0 IPS |
|
|
Object Detection (Q)
|
88% |
10487
840.8 IPS |
|
|
Face Detection (SP)
|
100% |
11462
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
18912
224.7 IPS |
|
|
Face Detection (Q)
|
100% |
34070
404.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13775
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18567
143.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34277
266.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25600
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54452
70.0 IPS |
|
|
Style Transfer (Q)
|
98% |
98755
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7685
283.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16241
599.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31170
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2258
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4807
82.8 IPS |