| User | sabeer43 |
| Upload Date | June 23 2025 06:51 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83DV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
11193
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
5528
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10628
172.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15187
246.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9405
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71293
83.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
214191
249.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
63298
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
7626
604.9 IPS |
|
|
Object Detection (HP)
|
100% |
13473
1.07 KIPS |
|
|
Object Detection (Q)
|
84% |
6676
538.5 IPS |
|
|
Face Detection (SP)
|
100% |
17188
204.2 IPS |
|
|
Face Detection (HP)
|
100% |
29857
354.8 IPS |
|
|
Face Detection (Q)
|
97% |
14917
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34089
262.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
68434
527.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
27773
222.2 IPS |
|
|
Style Transfer (SP)
|
100% |
119591
153.7 IPS |
|
|
Style Transfer (HP)
|
100% |
290875
373.9 IPS |
|
|
Style Transfer (Q)
|
98% |
101930
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24752
914.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40809
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17546
649.7 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1685
31.6 IPS |