| Upload Date | January 29 2026 08:27 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% |
8735
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
14789
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
8064
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11648
188.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14228
230.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10761
175.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
115615
134.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
344419
401.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
107846
126.3 IPS |
|
|
Object Detection (SP)
|
100% |
10307
817.6 IPS |
|
|
Object Detection (HP)
|
100% |
16913
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
8933
721.7 IPS |
|
|
Face Detection (SP)
|
100% |
23519
279.5 IPS |
|
|
Face Detection (HP)
|
100% |
33686
400.3 IPS |
|
|
Face Detection (Q)
|
97% |
21144
252.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
52799
406.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108965
839.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
41848
334.0 IPS |
|
|
Style Transfer (SP)
|
100% |
155271
199.6 IPS |
|
|
Style Transfer (HP)
|
100% |
551275
708.7 IPS |
|
|
Style Transfer (Q)
|
98% |
138322
178.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32623
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60157
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24897
921.9 IPS |
|
|
Text Classification (SP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4537
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2344
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1660
31.1 IPS |