| User | craigwood2012 |
| Upload Date | December 23 2025 12:34 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% |
2774
515.8 IPS |
|
|
Image Classification (HP)
|
100% |
6955
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9880
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5699
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10562
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34097
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74585
87.4 IPS |
|
|
Object Detection (SP)
|
100% |
3700
293.5 IPS |
|
|
Object Detection (HP)
|
100% |
6086
482.7 IPS |
|
|
Object Detection (Q)
|
88% |
10223
819.6 IPS |
|
|
Face Detection (SP)
|
100% |
11068
131.5 IPS |
|
|
Face Detection (HP)
|
100% |
18296
217.4 IPS |
|
|
Face Detection (Q)
|
100% |
33387
396.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9852
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18509
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
33285
259.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26729
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53178
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
96230
124.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16173
597.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30906
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2057
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
2132
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2971
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4735
81.6 IPS |