| User | Aaronage |
| Upload Date | July 04 2025 04:12 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14888
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
22159
4.12 KIPS |
|
|
Image Classification (Q)
|
100% |
13046
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22996
372.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31075
503.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21872
355.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
236707
276.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
685808
800.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
201515
236.0 IPS |
|
|
Object Detection (SP)
|
100% |
19323
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
28751
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
16424
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
53280
633.1 IPS |
|
|
Face Detection (HP)
|
100% |
75767
900.3 IPS |
|
|
Face Detection (Q)
|
97% |
43937
523.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
91771
707.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
172847
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67238
536.9 IPS |
|
|
Style Transfer (SP)
|
100% |
346568
445.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1092110
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
299775
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55323
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85790
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42262
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5145
6.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2498
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6064
104.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2872
53.9 IPS |