| User | pierresmithsp |
| Upload Date | October 13 2025 07:52 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
99% |
3535
659.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
555
8.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
1904
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2412
2.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
11213
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
86% |
1880
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
4863
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3352
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1363
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7607
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7284
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
5643
7.25 IPS |
|
|
Style Transfer (Q)
|
98% |
9345
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2443
90.5 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.6 IPS |
|
|
Text Classification (Q)
|
97% |
1224
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
65% |
1665
33.5 IPS |