User | batest23 |
Upload Date | October 26 2024 04:32 AM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) UHD Graphics |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 83ES |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i5-12450H |
Topology | 1 Processor, 8 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
648
120.5 IPS |
|
Image Classification (HP)
|
100% |
663
123.2 IPS |
|
Image Classification (Q)
|
99% |
528
98.6 IPS |
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
Pose Estimation (SP)
|
100% |
5442
6.35 IPS |
|
Pose Estimation (HP)
|
100% |
6242
7.28 IPS |
|
Pose Estimation (Q)
|
96% |
3437
4.03 IPS |
|
Object Detection (SP)
|
100% |
748
59.3 IPS |
|
Object Detection (HP)
|
98% |
650
51.7 IPS |
|
Object Detection (Q)
|
89% |
586
46.9 IPS |
|
Face Detection (SP)
|
100% |
1465
17.4 IPS |
|
Face Detection (HP)
|
100% |
1588
18.9 IPS |
|
Face Detection (Q)
|
97% |
1018
12.1 IPS |
|
Depth Estimation (SP)
|
100% |
3004
23.1 IPS |
|
Depth Estimation (HP)
|
98% |
3348
25.9 IPS |
|
Depth Estimation (Q)
|
76% |
2162
17.4 IPS |
|
Style Transfer (SP)
|
100% |
11661
15.0 IPS |
|
Style Transfer (HP)
|
100% |
15700
20.2 IPS |
|
Style Transfer (Q)
|
98% |
8274
10.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
Image Super-Resolution (HP)
|
100% |
2529
93.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
894
33.1 IPS |
|
Text Classification (SP)
|
100% |
655
874.3 IPS |
|
Text Classification (HP)
|
100% |
273
364.2 IPS |
|
Text Classification (Q)
|
97% |
324
434.1 IPS |
|
Machine Translation (SP)
|
100% |
585
10.1 IPS |
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
Machine Translation (Q)
|
60% |
268
5.97 IPS |