| User | Jgorell |
| Upload Date | July 17 2025 10:30 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro 140T GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro Max 14 MC14250 |
| Motherboard | Dell Inc. 0R3G9M |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4953
921.2 IPS |
|
|
Image Classification (HP)
|
100% |
6023
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
3598
671.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5947
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10178
165.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3767
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21746
25.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
40711
47.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18023
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
5987
474.9 IPS |
|
|
Object Detection (HP)
|
100% |
7589
601.9 IPS |
|
|
Object Detection (Q)
|
84% |
3997
322.6 IPS |
|
|
Face Detection (SP)
|
100% |
8226
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
14541
172.8 IPS |
|
|
Face Detection (Q)
|
97% |
5688
67.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18241
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
30120
232.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13187
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57457
73.9 IPS |
|
|
Style Transfer (HP)
|
100% |
99977
128.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40828
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9328
344.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17066
630.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5514
204.2 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
97% |
913
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2734
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2872
49.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1198
22.5 IPS |