| Upload Date | November 18 2025 10:58 AM |
| 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 GAMING WIFI6E GEN5 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M GAMING WIFI6E GEN5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| 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% |
2868
533.3 IPS |
|
|
Image Classification (HP)
|
100% |
548
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
5268
982.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7587
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4110
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
18772
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
86% |
5771
463.8 IPS |
|
|
Face Detection (SP)
|
100% |
7402
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
1725
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
8485
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7408
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2118
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13854
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13199
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9760
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22768
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5091
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.2 IPS |
|
|
Text Classification (Q)
|
97% |
1445
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2945
59.2 IPS |