User | paultissue |
Upload Date | September 12 2025 06:25 AM |
Views | 9 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Core i5-7300U |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 20L8S0AC00 |
Motherboard | LENOVO 20L8S0AC00 |
Power Plan | ChrisTitus - Ultimate Power Plan |
CPU Information | |
---|---|
Name | Intel Core i5-7300U |
Topology | 1 Processor, 2 Cores, 4 Threads |
Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
Base Frequency | 2.71 GHz |
Cluster 1 | 2 Cores |
Memory Information | |
---|---|
Size | 8.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
631
117.3 IPS |
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
Image Classification (Q)
|
96% |
989
184.8 IPS |
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
Image Segmentation (Q)
|
97% |
1039
16.9 IPS |
|
Pose Estimation (SP)
|
100% |
1309
1.53 IPS |
|
Pose Estimation (HP)
|
100% |
922
1.08 IPS |
|
Pose Estimation (Q)
|
86% |
2051
2.42 IPS |
|
Object Detection (SP)
|
100% |
618
49.0 IPS |
|
Object Detection (HP)
|
100% |
269
21.4 IPS |
|
Object Detection (Q)
|
58% |
683
74.7 IPS |
|
Face Detection (SP)
|
100% |
1436
17.1 IPS |
|
Face Detection (HP)
|
100% |
538
6.39 IPS |
|
Face Detection (Q)
|
96% |
2055
24.5 IPS |
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
Depth Estimation (HP)
|
99% |
697
5.37 IPS |
|
Depth Estimation (Q)
|
78% |
2312
18.5 IPS |
|
Style Transfer (SP)
|
100% |
3085
3.97 IPS |
|
Style Transfer (HP)
|
100% |
2205
2.83 IPS |
|
Style Transfer (Q)
|
87% |
3988
5.19 IPS |
|
Image Super-Resolution (SP)
|
100% |
669
24.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
Image Super-Resolution (Q)
|
97% |
1138
42.2 IPS |
|
Text Classification (SP)
|
100% |
706
942.5 IPS |
|
Text Classification (HP)
|
100% |
422
563.8 IPS |
|
Text Classification (Q)
|
97% |
687
920.2 IPS |
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
Machine Translation (Q)
|
68% |
990
19.1 IPS |