| Upload Date | January 29 2026 08:25 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B760M-AYW WIFI |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
99% |
4715
879.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2811
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3397
3.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
16407
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
4737
380.7 IPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
7125
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10946
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10690
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7556
9.71 IPS |
|
|
Style Transfer (Q)
|
98% |
15799
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3344
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
665
888.1 IPS |
|
|
Text Classification (Q)
|
97% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
65% |
2025
40.7 IPS |