| Upload Date | December 22 2025 07:06 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17615
3.28 KIPS |
|
|
Image Classification (HP)
|
100% |
22294
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
15407
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26804
434.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32015
519.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25928
421.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
410509
479.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
967816
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
332182
389.1 IPS |
|
|
Object Detection (SP)
|
100% |
23877
1.89 KIPS |
|
|
Object Detection (HP)
|
100% |
30890
2.45 KIPS |
|
|
Object Detection (Q)
|
85% |
20226
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
66635
791.8 IPS |
|
|
Face Detection (HP)
|
100% |
84490
1.00 KIPS |
|
|
Face Detection (Q)
|
97% |
54620
651.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
110714
853.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
195121
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79973
640.5 IPS |
|
|
Style Transfer (SP)
|
100% |
622792
800.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1676361
2.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
521510
672.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75138
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98062
3.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55029
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2598
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5756
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5804
100.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2882
54.1 IPS |