| Upload Date | November 11 2025 09:09 AM |
| Views | 4 |
| 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. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
8607
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
14978
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
7894
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12627
204.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16949
274.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11771
191.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
103558
120.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
335064
391.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
95282
111.6 IPS |
|
|
Object Detection (SP)
|
100% |
10176
807.2 IPS |
|
|
Object Detection (HP)
|
100% |
17504
1.39 KIPS |
|
|
Object Detection (Q)
|
83% |
8603
695.1 IPS |
|
|
Face Detection (SP)
|
100% |
24236
288.0 IPS |
|
|
Face Detection (HP)
|
100% |
37291
443.1 IPS |
|
|
Face Detection (Q)
|
97% |
21652
258.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
46092
355.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104193
802.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
38187
304.8 IPS |
|
|
Style Transfer (SP)
|
100% |
149501
192.2 IPS |
|
|
Style Transfer (HP)
|
100% |
519416
667.7 IPS |
|
|
Style Transfer (Q)
|
98% |
129610
167.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30218
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59235
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23112
855.8 IPS |
|
|
Text Classification (SP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2198
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1593
29.9 IPS |