| Upload Date | November 22 2025 05:53 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% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
99% |
6539
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10115
164.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8439
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5984
6.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
15746
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
86% |
5537
445.0 IPS |
|
|
Face Detection (SP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6703
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4753
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2450
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12175
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10977
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9008
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15937
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3962
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.6 IPS |
|
|
Text Classification (Q)
|
97% |
1402
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2488
50.0 IPS |