| Upload Date | October 07 2025 03:29 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 00YYVX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
99% |
2712
505.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6310
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4761
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2836
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
13950
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
5188
417.0 IPS |
|
|
Face Detection (SP)
|
100% |
6133
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1461
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7545
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6027
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1619
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11998
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11084
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7177
9.23 IPS |
|
|
Style Transfer (Q)
|
98% |
18580
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
642
856.8 IPS |
|
|
Text Classification (Q)
|
97% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2230
44.8 IPS |