| Upload Date | January 10 2025 05:28 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2630QM |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK Computer Inc. N73SV |
| Motherboard | ASUSTeK Computer Inc. N73SV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2630QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
96% |
361
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
174
2.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
367
5.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
903
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.6 IPS |
|
|
Object Detection (Q)
|
58% |
334
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.95 IPS |
|
|
Face Detection (Q)
|
96% |
955
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1175
9.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
998
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
2239
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1760
2.26 IPS |
|
|
Style Transfer (Q)
|
87% |
1712
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
444
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
424
565.5 IPS |
|
|
Text Classification (HP)
|
100% |
213
283.9 IPS |
|
|
Text Classification (Q)
|
97% |
189
253.6 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
68% |
455
8.79 IPS |