| Upload Date | June 19 2025 12:26 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Dell Pro 14 PC14250 |
| Motherboard | Dell Inc. 0VJH5M |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2678
498.1 IPS |
|
|
Image Classification (HP)
|
100% |
3435
638.7 IPS |
|
|
Image Classification (Q)
|
99% |
2040
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1533
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10124
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15033
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8626
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
99% |
2962
235.6 IPS |
|
|
Object Detection (Q)
|
85% |
1903
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (Q)
|
97% |
3322
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8159
62.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13793
106.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
6106
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25301
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36858
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20000
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4016
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2978
110.3 IPS |
|
|
Text Classification (SP)
|
86% |
745
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
671
895.4 IPS |
|
|
Text Classification (Q)
|
84% |
516
699.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (Q)
|
70% |
827
15.5 IPS |