| User | Jerry27889 |
| Upload Date | April 16 2025 03:09 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Alienware Alienware x14 |
| Motherboard | Alienware 0T9XYP |
| Power Plan | Balanced |
| 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% |
4804
893.5 IPS |
|
|
Image Classification (HP)
|
99% |
7511
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
3832
714.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8137
131.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12583
204.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6656
108.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57815
67.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
166813
194.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
48456
56.8 IPS |
|
|
Object Detection (SP)
|
100% |
6109
484.6 IPS |
|
|
Object Detection (HP)
|
100% |
10372
822.7 IPS |
|
|
Object Detection (Q)
|
85% |
4752
382.5 IPS |
|
|
Face Detection (SP)
|
100% |
14276
169.6 IPS |
|
|
Face Detection (HP)
|
100% |
22849
271.5 IPS |
|
|
Face Detection (Q)
|
97% |
11509
137.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30004
231.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59695
461.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
21226
169.9 IPS |
|
|
Style Transfer (SP)
|
100% |
98367
126.5 IPS |
|
|
Style Transfer (HP)
|
100% |
263186
338.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80560
103.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17605
650.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28546
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11653
431.5 IPS |
|
|
Text Classification (SP)
|
100% |
1837
2.45 KIPS |
|
|
Text Classification (HP)
|
99% |
2543
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2828
48.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1183
22.2 IPS |