| Upload Date | September 26 2025 02:30 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 i5-14400F |
| 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% |
7924
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
14065
2.62 KIPS |
|
|
Image Classification (Q)
|
99% |
6819
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10564
171.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14378
233.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10006
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
98081
114.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
284246
331.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
83234
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
9460
750.4 IPS |
|
|
Object Detection (HP)
|
100% |
15481
1.23 KIPS |
|
|
Object Detection (Q)
|
83% |
8289
669.7 IPS |
|
|
Face Detection (SP)
|
100% |
21610
256.8 IPS |
|
|
Face Detection (HP)
|
100% |
31520
374.5 IPS |
|
|
Face Detection (Q)
|
97% |
18526
220.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47772
368.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94694
729.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
37708
301.5 IPS |
|
|
Style Transfer (SP)
|
100% |
144824
186.2 IPS |
|
|
Style Transfer (HP)
|
100% |
479167
616.0 IPS |
|
|
Style Transfer (Q)
|
98% |
120462
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26728
986.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51852
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20586
762.3 IPS |
|
|
Text Classification (SP)
|
100% |
3345
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1582
29.7 IPS |