User | quetzacolt |
Upload Date | August 09 2025 12:16 PM |
Views | 8 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
Power Plan | Bilanciato |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
17548
3.26 KIPS |
|
Image Classification (HP)
|
100% |
23185
4.31 KIPS |
|
Image Classification (Q)
|
100% |
15150
2.82 KIPS |
|
Image Segmentation (SP)
|
100% |
34163
553.8 IPS |
|
Image Segmentation (HP)
|
100% |
43026
697.5 IPS |
|
Image Segmentation (Q)
|
98% |
31820
517.4 IPS |
|
Pose Estimation (SP)
|
100% |
406757
474.6 IPS |
|
Pose Estimation (HP)
|
100% |
999569
1.17 KIPS |
|
Pose Estimation (Q)
|
96% |
326258
382.2 IPS |
|
Object Detection (SP)
|
100% |
24834
1.97 KIPS |
|
Object Detection (HP)
|
100% |
32674
2.59 KIPS |
|
Object Detection (Q)
|
85% |
20377
1.64 KIPS |
|
Face Detection (SP)
|
100% |
75195
893.5 IPS |
|
Face Detection (HP)
|
100% |
100235
1.19 KIPS |
|
Face Detection (Q)
|
97% |
59497
709.5 IPS |
|
Depth Estimation (SP)
|
100% |
108226
833.8 IPS |
|
Depth Estimation (HP)
|
99% |
194530
1.50 KIPS |
|
Depth Estimation (Q)
|
77% |
78098
625.5 IPS |
|
Style Transfer (SP)
|
100% |
601912
773.8 IPS |
|
Style Transfer (HP)
|
100% |
1684785
2.17 KIPS |
|
Style Transfer (Q)
|
98% |
504188
650.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
76251
2.82 KIPS |
|
Image Super-Resolution (HP)
|
100% |
101824
3.76 KIPS |
|
Image Super-Resolution (Q)
|
99% |
54781
2.03 KIPS |
|
Text Classification (SP)
|
100% |
4239
5.66 KIPS |
|
Text Classification (HP)
|
100% |
5109
6.82 KIPS |
|
Text Classification (Q)
|
97% |
2467
3.30 KIPS |
|
Machine Translation (SP)
|
100% |
7027
121.1 IPS |
|
Machine Translation (HP)
|
100% |
7012
120.8 IPS |
|
Machine Translation (Q)
|
70% |
3094
58.0 IPS |