| User | porina | 
| Upload Date | August 16 2024 10:40 AM | 
| Views | 11 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | DirectML | 
| Device | NVIDIA GeForce RTX 3070 Laptop GPU | 
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) | 
| Model | LENOVO 82JU | 
| Motherboard | LENOVO LNVNB161216 | 
| Power Plan | Legion Balance Mode | 
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H | 
| Topology | 1 Processor, 8 Cores, 16 Threads | 
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 | 
| Base Frequency | 3.20 GHz | 
| Cluster 1 | 8 Cores | 
| Memory Information | |
|---|---|
| Size | 32.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
5955
 1.11 KIPS  | 
|
| 
Image Classification (HP)
 | 
99% | 
9201
 1.72 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
4433
 824.4 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
8103
 131.4 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
10516
 170.5 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
6860
 111.6 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
78219
 91.3 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
230212
 268.6 IPS  | 
|
| 
Pose Estimation (Q)
 | 
97% | 
66324
 77.7 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
6864
 544.4 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
10580
 839.2 IPS  | 
|
| 
Object Detection (Q)
 | 
88% | 
5177
 415.2 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
15788
 187.6 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
22076
 262.3 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
11550
 137.7 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
36680
 282.6 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
69564
 535.9 IPS  | 
|
| 
Depth Estimation (Q)
 | 
69% | 
22027
 186.6 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
126432
 162.5 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
327336
 420.8 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
106203
 136.9 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
25550
 943.5 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
34441
 1.27 KIPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
15548
 575.7 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
2550
 3.40 KIPS  | 
|
| 
Text Classification (HP)
 | 
99% | 
3265
 4.36 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
1363
 1.83 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
2472
 42.6 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
2490
 42.9 IPS  | 
|
| 
Machine Translation (Q)
 | 
60% | 
975
 21.8 IPS  |