| User | EDDY_TG |
| Upload Date | August 18 2025 01:21 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.4 IPS |
|
|
Image Classification (HP)
|
100% |
2729
507.5 IPS |
|
|
Image Classification (Q)
|
99% |
4167
777.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4026
65.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4685
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4391
5.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
3193
3.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
13086
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.5 IPS |
|
|
Object Detection (HP)
|
98% |
2391
190.3 IPS |
|
|
Object Detection (Q)
|
90% |
4433
354.4 IPS |
|
|
Face Detection (SP)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
8184
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
10891
129.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5145
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8738
67.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11970
93.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11366
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17815
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30056
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3317
122.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6807
252.1 IPS |
|
|
Text Classification (SP)
|
71% |
728
1.05 KIPS |
|
|
Text Classification (HP)
|
71% |
770
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1543
26.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1548
26.7 IPS |