Upload Date | March 20 2025 06:33 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i7-4700HQ |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
Model | ASUSTeK COMPUTER INC. N550JV |
Motherboard | ASUSTeK COMPUTER INC. N550JV |
Power Plan | Yksek performans |
CPU Information | |
---|---|
Name | Intel Core i7-4700HQ |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
Base Frequency | 2.40 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1092
203.1 IPS |
|
Image Classification (HP)
|
100% |
272
50.6 IPS |
|
Image Classification (Q)
|
96% |
1120
209.1 IPS |
|
Image Segmentation (SP)
|
100% |
528
8.56 IPS |
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
Image Segmentation (Q)
|
97% |
820
13.3 IPS |
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
Pose Estimation (HP)
|
100% |
1754
2.05 IPS |
|
Pose Estimation (Q)
|
86% |
2509
2.97 IPS |
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
Object Detection (HP)
|
100% |
344
27.3 IPS |
|
Object Detection (Q)
|
58% |
778
85.0 IPS |
|
Face Detection (SP)
|
100% |
1813
21.5 IPS |
|
Face Detection (HP)
|
100% |
697
8.29 IPS |
|
Face Detection (Q)
|
96% |
2483
29.6 IPS |
|
Depth Estimation (SP)
|
100% |
2862
22.0 IPS |
|
Depth Estimation (HP)
|
99% |
971
7.48 IPS |
|
Depth Estimation (Q)
|
78% |
2779
22.2 IPS |
|
Style Transfer (SP)
|
100% |
5056
6.50 IPS |
|
Style Transfer (HP)
|
100% |
3943
5.07 IPS |
|
Style Transfer (Q)
|
87% |
5101
6.64 IPS |
|
Image Super-Resolution (SP)
|
100% |
1009
37.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
867
32.0 IPS |
|
Image Super-Resolution (Q)
|
97% |
997
37.0 IPS |
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
Text Classification (HP)
|
100% |
399
533.2 IPS |
|
Text Classification (Q)
|
97% |
291
389.4 IPS |
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
Machine Translation (HP)
|
100% |
368
6.33 IPS |
|
Machine Translation (Q)
|
68% |
1056
20.4 IPS |