| Upload Date | October 23 2025 11:07 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B760-G GAMING WIFI |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
99% |
2714
506.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3392
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
7056
8.27 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (Q)
|
86% |
2507
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
4512
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2912
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
78% |
6563
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5809
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4104
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
11691
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
866
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2411
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.3 IPS |
|
|
Text Classification (Q)
|
97% |
1047
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1965
39.5 IPS |