| User | PashPaw |
| Upload Date | April 27 2025 08:36 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 14 9440 |
| Motherboard | Dell Inc. 0539M9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4359
810.7 IPS |
|
|
Image Classification (HP)
|
99% |
9518
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
4406
821.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
9003
145.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14855
240.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8855
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
41509
48.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
143612
167.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
37447
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
5827
462.2 IPS |
|
|
Object Detection (HP)
|
100% |
10863
861.6 IPS |
|
|
Object Detection (Q)
|
84% |
5260
424.3 IPS |
|
|
Face Detection (SP)
|
100% |
13204
156.9 IPS |
|
|
Face Detection (HP)
|
100% |
25159
298.9 IPS |
|
|
Face Detection (Q)
|
97% |
11767
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22679
174.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56972
438.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
20638
165.1 IPS |
|
|
Style Transfer (SP)
|
100% |
96931
124.6 IPS |
|
|
Style Transfer (HP)
|
100% |
252757
324.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72819
93.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19445
718.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32865
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14156
524.2 IPS |
|
|
Text Classification (SP)
|
100% |
2596
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1608
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1725
32.3 IPS |