| Upload Date | November 20 2025 04:25 PM |
| Views | 4 |
| 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 Pro Max 18 Plus MB18250 |
| Motherboard | Dell Inc. 0H2WHD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3170
589.6 IPS |
|
|
Image Classification (HP)
|
100% |
4249
790.2 IPS |
|
|
Image Classification (Q)
|
100% |
9736
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4023
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9020
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
21805
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
41088
48.1 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
100% |
5963
473.0 IPS |
|
|
Object Detection (Q)
|
88% |
6570
526.7 IPS |
|
|
Face Detection (SP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
11010
130.8 IPS |
|
|
Face Detection (Q)
|
100% |
23078
274.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4963
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15922
122.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33047
257.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14861
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39349
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97412
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12253
452.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30372
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
1966
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4682
80.6 IPS |