| Upload Date | January 29 2026 07:39 AM |
| Views | 5 |
| 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% |
8622
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
14437
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
8062
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11230
182.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14341
232.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10464
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
119421
139.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
346523
404.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
111100
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
10071
798.8 IPS |
|
|
Object Detection (HP)
|
100% |
16763
1.33 KIPS |
|
|
Object Detection (Q)
|
83% |
8824
712.9 IPS |
|
|
Face Detection (SP)
|
100% |
22703
269.8 IPS |
|
|
Face Detection (HP)
|
100% |
33099
393.3 IPS |
|
|
Face Detection (Q)
|
97% |
20929
249.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
51524
397.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105970
816.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
43077
343.8 IPS |
|
|
Style Transfer (SP)
|
100% |
164082
210.9 IPS |
|
|
Style Transfer (HP)
|
100% |
539597
693.7 IPS |
|
|
Style Transfer (Q)
|
98% |
144553
186.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32348
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59385
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25000
925.7 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2288
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1638
30.7 IPS |