| Upload Date | December 27 2025 05:25 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G731GU_G731GU |
| Motherboard | ASUSTeK COMPUTER INC. G731GU |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
96% |
2713
506.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
3318
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4388
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3466
4.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
4995
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
58% |
1394
152.3 IPS |
|
|
Face Detection (SP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (Q)
|
96% |
4015
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3340
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
5162
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6868
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
5055
6.50 IPS |
|
|
Style Transfer (Q)
|
87% |
9285
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2119
78.5 IPS |
|
|
Text Classification (SP)
|
100% |
1081
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.7 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1805
34.9 IPS |