| User | vassourabfc |
| Upload Date | February 08 2026 08:54 PM |
| Views | 7 |
| 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 B650E-I GAMING WIFI |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18493
3.44 KIPS |
|
|
Image Classification (HP)
|
100% |
24200
4.50 KIPS |
|
|
Image Classification (Q)
|
100% |
15816
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39981
648.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
52355
848.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
36953
600.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
417655
487.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1054976
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
333315
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
27226
2.16 KIPS |
|
|
Object Detection (HP)
|
100% |
36464
2.89 KIPS |
|
|
Object Detection (Q)
|
85% |
22135
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
81027
962.8 IPS |
|
|
Face Detection (HP)
|
100% |
111577
1.33 KIPS |
|
|
Face Detection (Q)
|
97% |
62907
750.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
111738
860.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
201493
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79922
640.1 IPS |
|
|
Style Transfer (SP)
|
100% |
625874
804.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1852758
2.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
524611
676.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78622
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
105999
3.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56428
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5194
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2571
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7845
135.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7816
134.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3331
62.5 IPS |