| User | cehensley |
| Upload Date | September 06 2025 04:38 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 13 Premium PA13250 |
| Motherboard | Dell Inc. 04RY0J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3323
618.1 IPS |
|
|
Image Classification (HP)
|
100% |
5334
991.9 IPS |
|
|
Image Classification (Q)
|
100% |
2950
548.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6077
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11946
193.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4448
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18708
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
92739
108.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13530
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (HP)
|
100% |
8780
696.4 IPS |
|
|
Object Detection (Q)
|
88% |
3843
308.2 IPS |
|
|
Face Detection (SP)
|
100% |
8672
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
15621
185.6 IPS |
|
|
Face Detection (Q)
|
97% |
6394
76.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16681
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34409
265.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12110
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47263
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
157729
202.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34007
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6887
254.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19754
729.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4807
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (Q)
|
97% |
571
765.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1265
23.7 IPS |