| User | craigwood2012 |
| Upload Date | December 22 2025 09:46 PM |
| Views | 3 |
| 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% |
4786
890.0 IPS |
|
|
Image Classification (HP)
|
100% |
7217
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10257
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8126
131.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12728
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
35225
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75539
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
5498
436.1 IPS |
|
|
Object Detection (HP)
|
100% |
6196
491.5 IPS |
|
|
Object Detection (Q)
|
88% |
10553
846.0 IPS |
|
|
Face Detection (SP)
|
100% |
12506
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
18191
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
34571
410.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14430
111.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18730
144.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
34676
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27021
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54717
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
99553
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8087
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16612
613.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32791
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2253
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4908
84.5 IPS |