| User | vassourabfc |
| Upload Date | November 14 2025 07:33 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% |
17645
3.28 KIPS |
|
|
Image Classification (HP)
|
100% |
22942
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
15117
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39145
634.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
52097
844.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36297
590.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
406024
473.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1021636
1.19 KIPS |
|
|
Pose Estimation (Q)
|
96% |
320355
375.3 IPS |
|
|
Object Detection (SP)
|
100% |
26246
2.08 KIPS |
|
|
Object Detection (HP)
|
100% |
35779
2.84 KIPS |
|
|
Object Detection (Q)
|
85% |
21548
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
79731
947.4 IPS |
|
|
Face Detection (HP)
|
100% |
109481
1.30 KIPS |
|
|
Face Detection (Q)
|
97% |
61726
736.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
107486
828.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
195272
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77327
619.4 IPS |
|
|
Style Transfer (SP)
|
100% |
605392
778.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1819774
2.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
507029
653.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75913
2.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102981
3.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54317
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4136
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2448
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
7803
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7700
132.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3276
61.5 IPS |