| Upload Date | June 07 2025 11:04 AM |
| Views | 28 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870 Pro RS WiFi |
| Motherboard | ASRock X870 Pro RS WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17031
3.17 KIPS |
|
|
Image Classification (HP)
|
100% |
21829
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
14450
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29493
478.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36327
588.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
28041
456.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
389929
455.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
888251
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
305777
358.2 IPS |
|
|
Object Detection (SP)
|
100% |
23436
1.86 KIPS |
|
|
Object Detection (HP)
|
100% |
30846
2.45 KIPS |
|
|
Object Detection (Q)
|
85% |
19642
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
67237
798.9 IPS |
|
|
Face Detection (HP)
|
100% |
87937
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
54274
647.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
107871
831.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
188123
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76976
616.5 IPS |
|
|
Style Transfer (SP)
|
100% |
603949
776.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1678315
2.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
509163
656.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73047
2.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96227
3.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51075
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2391
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6093
105.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6256
107.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2922
54.8 IPS |