| User | Louis_Leenders |
| Upload Date | October 21 2024 07:06 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3681
684.5 IPS |
|
|
Image Classification (HP)
|
99% |
6658
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
3114
579.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5500
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8056
130.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4645
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
42109
49.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
119505
139.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
35740
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
4413
350.0 IPS |
|
|
Object Detection (HP)
|
100% |
7865
623.9 IPS |
|
|
Object Detection (Q)
|
89% |
3288
263.2 IPS |
|
|
Face Detection (SP)
|
100% |
9159
108.8 IPS |
|
|
Face Detection (HP)
|
100% |
14207
168.8 IPS |
|
|
Face Detection (Q)
|
97% |
7120
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22015
169.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45365
349.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
15784
127.0 IPS |
|
|
Style Transfer (SP)
|
100% |
72587
93.3 IPS |
|
|
Style Transfer (HP)
|
100% |
187648
241.2 IPS |
|
|
Style Transfer (Q)
|
98% |
58776
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13922
514.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23556
869.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8839
327.3 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2722
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1238
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2337
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (Q)
|
60% |
944
21.1 IPS |