| Upload Date | November 22 2025 05:56 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
2223
413.3 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.8 IPS |
|
|
Image Classification (Q)
|
99% |
8236
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8369
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7829
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5964
6.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
15117
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
3886
312.3 IPS |
|
|
Face Detection (SP)
|
100% |
5572
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
6814
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5716
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2503
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9110
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11821
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8138
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16270
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3938
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.3 IPS |
|
|
Text Classification (Q)
|
97% |
1057
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1635
32.9 IPS |