| User | streber42 |
| Upload Date | April 08 2026 07:14 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (HP)
|
100% |
1821
338.6 IPS |
|
|
Image Classification (Q)
|
100% |
1656
307.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2440
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2266
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
2623
3.07 IPS |
|
|
Pose Estimation (Q)
|
97% |
3922
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
99% |
1797
143.0 IPS |
|
|
Object Detection (Q)
|
88% |
1680
134.7 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
5719
67.9 IPS |
|
|
Face Detection (Q)
|
97% |
5041
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3325
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5676
43.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
5168
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8089
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10152
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9304
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1389
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2310
85.5 IPS |
|
|
Text Classification (SP)
|
71% |
768
1.11 KIPS |
|
|
Text Classification (HP)
|
71% |
970
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
690
927.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1473
25.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1458
25.2 IPS |