| Upload Date | January 29 2026 08:35 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
8575
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
14243
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
8008
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11523
186.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14627
237.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10699
174.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
119400
139.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
350976
409.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
111596
130.7 IPS |
|
|
Object Detection (SP)
|
100% |
9721
771.1 IPS |
|
|
Object Detection (HP)
|
100% |
16927
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
8984
725.9 IPS |
|
|
Face Detection (SP)
|
100% |
23066
274.1 IPS |
|
|
Face Detection (HP)
|
100% |
31938
379.5 IPS |
|
|
Face Detection (Q)
|
97% |
20035
238.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
49555
381.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108012
832.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
43083
343.9 IPS |
|
|
Style Transfer (SP)
|
100% |
165947
213.3 IPS |
|
|
Style Transfer (HP)
|
100% |
517065
664.7 IPS |
|
|
Style Transfer (Q)
|
98% |
143263
184.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32841
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58727
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25467
943.0 IPS |
|
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4430
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2304
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1589
29.8 IPS |