| User | porina |
| Upload Date | August 16 2024 10:40 AM |
| Views | 13 |
| 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 |