| User | dgbrownnt |
| Upload Date | February 18 2025 04:07 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zephyrus M GU502GV_GU502GV |
| Motherboard | ASUSTeK COMPUTER INC. GU502GV |
| Power Plan | Power Saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1035
192.4 IPS |
|
|
Image Classification (HP)
|
100% |
1051
195.4 IPS |
|
|
Image Classification (Q)
|
100% |
1655
307.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1192
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1936
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2301
2.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
4224
4.95 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
87% |
1730
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
4685
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2783
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2809
21.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
4548
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6259
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
6358
8.17 IPS |
|
|
Style Transfer (Q)
|
98% |
11533
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2301
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (Q)
|
91% |
735
987.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1767
30.4 IPS |