| Upload Date | November 23 2025 11:19 AM |
| Views | 2 |
| 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 16 MC16250 |
| Motherboard | Dell Inc. 0P3VC2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4019
747.4 IPS |
|
|
Image Classification (HP)
|
100% |
6780
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9243
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4636
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3871
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8089
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
34190
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74096
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
3343
265.2 IPS |
|
|
Object Detection (HP)
|
100% |
5977
474.1 IPS |
|
|
Object Detection (Q)
|
87% |
9685
777.3 IPS |
|
|
Face Detection (SP)
|
100% |
9716
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
15685
186.4 IPS |
|
|
Face Detection (Q)
|
100% |
26441
314.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9043
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17830
137.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32524
253.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23029
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51223
65.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93197
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13964
515.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23334
864.2 IPS |
|
|
Text Classification (SP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1939
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1950
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4079
70.3 IPS |