| Upload Date | December 27 2025 05:28 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
2117
393.7 IPS |
|
|
Image Classification (Q)
|
100% |
2843
528.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2187
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4112
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4095
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
8073
9.47 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
100% |
2052
162.7 IPS |
|
|
Object Detection (Q)
|
87% |
3194
256.1 IPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
8569
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5260
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5250
40.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
8610
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12510
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12618
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23048
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2567
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2544
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4701
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (Q)
|
91% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2905
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2906
50.1 IPS |