| Upload Date | November 11 2025 09:25 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
6106
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
10561
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
5355
998.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10618
172.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14769
239.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9626
156.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
74499
86.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
227582
265.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
64721
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
7381
585.5 IPS |
|
|
Object Detection (HP)
|
100% |
12203
967.9 IPS |
|
|
Object Detection (Q)
|
84% |
6573
530.2 IPS |
|
|
Face Detection (SP)
|
100% |
17402
206.8 IPS |
|
|
Face Detection (HP)
|
100% |
29049
345.2 IPS |
|
|
Face Detection (Q)
|
97% |
15701
187.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
35106
270.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
68266
526.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
28850
230.8 IPS |
|
|
Style Transfer (SP)
|
100% |
121522
156.2 IPS |
|
|
Style Transfer (HP)
|
100% |
291393
374.6 IPS |
|
|
Style Transfer (Q)
|
98% |
109107
140.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25594
945.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38079
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18652
690.6 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3486
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1730
32.4 IPS |