| User | cpsi90 |
| Upload Date | September 08 2025 05:35 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 14 Premium PA14250 |
| Motherboard | Dell Inc. 0JT1RM |
| 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% |
4210
783.0 IPS |
|
|
Image Classification (HP)
|
100% |
4784
889.6 IPS |
|
|
Image Classification (Q)
|
100% |
2803
521.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7049
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13978
226.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5039
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21919
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
93065
108.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18106
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
4734
375.5 IPS |
|
|
Object Detection (HP)
|
100% |
7391
586.3 IPS |
|
|
Object Detection (Q)
|
88% |
3959
317.5 IPS |
|
|
Face Detection (SP)
|
100% |
9932
118.0 IPS |
|
|
Face Detection (HP)
|
100% |
18879
224.3 IPS |
|
|
Face Detection (Q)
|
97% |
6823
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19530
150.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
37580
289.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13373
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52858
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
172490
221.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38108
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8653
319.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14886
549.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5862
217.0 IPS |
|
|
Text Classification (SP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1259
23.6 IPS |