| User | paisarn |
| Upload Date | October 22 2025 06:37 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2657
494.1 IPS |
|
|
Image Classification (HP)
|
100% |
2676
497.6 IPS |
|
|
Image Classification (Q)
|
100% |
6114
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3161
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3182
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6015
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5133
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5062
5.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
18863
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (Q)
|
88% |
6400
513.1 IPS |
|
|
Face Detection (SP)
|
100% |
5261
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
14449
171.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6538
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6522
50.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
16369
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15043
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14938
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52400
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3162
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3184
117.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10374
384.2 IPS |
|
|
Text Classification (SP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3922
67.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3889
67.0 IPS |