| User | gesposito |
| Upload Date | November 14 2025 05:53 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro Max 16 Premium MA16250 |
| Motherboard | Dell Inc. 0CGJJ5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4402
818.6 IPS |
|
|
Image Classification (HP)
|
100% |
704
131.0 IPS |
|
|
Image Classification (Q)
|
99% |
8799
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12156
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8170
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6179
7.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
28689
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
3533
280.2 IPS |
|
|
Object Detection (HP)
|
100% |
883
70.0 IPS |
|
|
Object Detection (Q)
|
86% |
6598
530.3 IPS |
|
|
Face Detection (SP)
|
100% |
9680
115.0 IPS |
|
|
Face Detection (HP)
|
100% |
1836
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
10902
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9768
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3117
24.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19574
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19783
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13924
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23288
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3405
125.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5987
221.7 IPS |
|
|
Text Classification (SP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
657
876.8 IPS |
|
|
Text Classification (Q)
|
97% |
1674
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3324
66.8 IPS |