| User | KazamiKazuki |
| Upload Date | February 04 2025 08:06 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Insider Preview (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5208
968.6 IPS |
|
|
Image Classification (HP)
|
99% |
9495
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
4087
762.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8315
134.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12504
202.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6809
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
72241
84.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
173309
202.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58820
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
6562
520.5 IPS |
|
|
Object Detection (HP)
|
100% |
12398
983.4 IPS |
|
|
Object Detection (Q)
|
85% |
5437
437.7 IPS |
|
|
Face Detection (SP)
|
100% |
15683
186.3 IPS |
|
|
Face Detection (HP)
|
100% |
25993
308.9 IPS |
|
|
Face Detection (Q)
|
97% |
12678
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34476
265.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
66924
517.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23420
187.5 IPS |
|
|
Style Transfer (SP)
|
100% |
121565
156.3 IPS |
|
|
Style Transfer (HP)
|
100% |
282569
363.2 IPS |
|
|
Style Transfer (Q)
|
98% |
94453
121.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21050
777.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36265
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12784
473.4 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
1271
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2883
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1316
24.7 IPS |