| Upload Date | December 08 2025 05:52 AM |
| Views | 2 |
| 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 AX DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H 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 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
3157
588.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
3778
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2840
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2519
2.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
11062
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.6 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
3403
273.5 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5064
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2084
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12700
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11577
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9670
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16322
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2452
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2065
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5497
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3202
64.3 IPS |