| User | pierresmithsp |
| Upload Date | October 13 2025 08:01 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (HP)
|
100% |
1653
307.4 IPS |
|
|
Image Classification (Q)
|
99% |
1950
363.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3525
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3098
3.61 IPS |
|
|
Pose Estimation (HP)
|
99% |
2613
3.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
8799
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
99% |
1783
141.4 IPS |
|
|
Object Detection (Q)
|
90% |
2020
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
3450
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6041
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
7399
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3750
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6557
50.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
8391
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8588
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13070
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21679
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1518
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4313
159.7 IPS |
|
|
Text Classification (SP)
|
71% |
473
683.8 IPS |
|
|
Text Classification (HP)
|
71% |
614
888.0 IPS |
|
|
Text Classification (Q)
|
92% |
643
863.8 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (HP)
|
98% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
100% |
655
11.3 IPS |