| Upload Date | November 17 2025 09:05 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H410M H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. H410M H V2 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1755
326.4 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
96% |
2945
550.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
872
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
3254
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3503
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
7178
8.49 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
58% |
1949
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
4959
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4647
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6316
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9185
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7038
9.05 IPS |
|
|
Style Transfer (Q)
|
87% |
10194
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2993
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
643
858.8 IPS |
|
|
Text Classification (Q)
|
97% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1758
34.0 IPS |