| Upload Date | November 14 2025 12:11 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M H |
| Motherboard | Gigabyte Technology Co., Ltd. B760M H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2771
515.4 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
99% |
5180
966.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3009
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5804
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
19937
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
5511
442.9 IPS |
|
|
Face Detection (SP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
1698
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
8149
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7469
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2133
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13214
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13703
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9835
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22108
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2566
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
741
989.0 IPS |
|
|
Text Classification (Q)
|
97% |
1590
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1967
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2740
55.1 IPS |