| User | kasid |
| Upload Date | September 21 2025 06:45 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M AORUS PRO AX DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2685
499.3 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
5015
935.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3945
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5177
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
17332
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
86% |
4989
401.0 IPS |
|
|
Face Detection (SP)
|
100% |
5114
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
7302
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6844
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12896
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12357
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9747
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
16857
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5717
211.7 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
567
760.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3107
62.4 IPS |