| Upload Date | October 21 2025 08:24 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP Victus by HP Gaming Laptop 15-fa2xxx |
| Motherboard | HP 8DCD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| 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% |
3093
575.2 IPS |
|
|
Image Classification (HP)
|
99% |
5904
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
2622
489.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4729
76.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8524
138.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35604
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120754
140.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
28951
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3795
301.0 IPS |
|
|
Object Detection (HP)
|
100% |
7233
573.7 IPS |
|
|
Object Detection (Q)
|
84% |
3187
257.0 IPS |
|
|
Face Detection (SP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
14254
169.4 IPS |
|
|
Face Detection (Q)
|
97% |
6559
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19878
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
39729
306.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13857
111.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65075
83.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173755
223.4 IPS |
|
|
Style Transfer (Q)
|
98% |
50183
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11813
436.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22297
823.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7218
267.3 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2505
3.34 KIPS |
|
|
Text Classification (Q)
|
97% |
953
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2206
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (Q)
|
70% |
986
18.5 IPS |