| Upload Date | September 04 2025 02:12 PM |
| Views | 10 |
| 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. B650M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9501
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
16648
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8805
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14670
237.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20550
333.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13517
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
120453
140.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
396579
462.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
112783
132.1 IPS |
|
|
Object Detection (SP)
|
100% |
11770
933.6 IPS |
|
|
Object Detection (HP)
|
100% |
20548
1.63 KIPS |
|
|
Object Detection (Q)
|
83% |
10112
817.0 IPS |
|
|
Face Detection (SP)
|
100% |
28863
343.0 IPS |
|
|
Face Detection (HP)
|
100% |
48545
576.8 IPS |
|
|
Face Detection (Q)
|
97% |
25560
304.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
53596
412.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
118230
910.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
43588
347.9 IPS |
|
|
Style Transfer (SP)
|
100% |
171533
220.5 IPS |
|
|
Style Transfer (HP)
|
100% |
602962
775.1 IPS |
|
|
Style Transfer (Q)
|
98% |
148183
191.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34467
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64086
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26455
979.6 IPS |
|
|
Text Classification (SP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4383
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2340
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1884
35.3 IPS |