| User | 5000hx |
| Upload Date | March 31 2026 08:52 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Plus MB16250 |
| Motherboard | Dell Inc. 0K8XPY |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5149
957.5 IPS |
|
|
Image Classification (HP)
|
100% |
743
138.1 IPS |
|
|
Image Classification (Q)
|
99% |
9417
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16366
266.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14920
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7706
8.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
46438
54.4 IPS |
|
|
Object Detection (SP)
|
100% |
5035
399.4 IPS |
|
|
Object Detection (HP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (Q)
|
86% |
11292
907.5 IPS |
|
|
Face Detection (SP)
|
100% |
15698
186.5 IPS |
|
|
Face Detection (HP)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
13231
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16005
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3314
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
22924
182.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31948
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20007
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25360
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3468
128.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6892
255.2 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1494
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3618
72.7 IPS |