| User | Cifra45 |
| Upload Date | March 06 2025 12:39 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H410M S2H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. H410M S2H V2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.4 IPS |
|
|
Image Classification (HP)
|
100% |
1300
241.8 IPS |
|
|
Image Classification (Q)
|
100% |
1190
221.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1627
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1935
2.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
2058
2.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
2761
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (HP)
|
99% |
1296
103.1 IPS |
|
|
Object Detection (Q)
|
88% |
1211
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
2583
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (Q)
|
97% |
3599
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2412
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4114
31.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
3731
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5469
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
7501
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
6761
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1700
62.9 IPS |
|
|
Text Classification (SP)
|
71% |
593
857.5 IPS |
|
|
Text Classification (HP)
|
71% |
690
998.2 IPS |
|
|
Text Classification (Q)
|
92% |
505
678.2 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
97% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
912
15.8 IPS |