| Upload Date | November 11 2025 09:24 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Nova WiFi |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14315
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
18439
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
12305
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34538
559.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
45210
732.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
30952
503.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
358148
417.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
827152
965.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
283873
332.5 IPS |
|
|
Object Detection (SP)
|
100% |
21272
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
27789
2.20 KIPS |
|
|
Object Detection (Q)
|
85% |
17009
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
68145
809.7 IPS |
|
|
Face Detection (HP)
|
100% |
90351
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
53691
640.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
94247
726.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
161997
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67470
540.4 IPS |
|
|
Style Transfer (SP)
|
100% |
536911
690.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1517911
1.95 KIPS |
|
|
Style Transfer (Q)
|
98% |
447210
576.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61015
2.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83432
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44726
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1957
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6489
111.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6494
111.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2346
44.0 IPS |