| Upload Date | November 10 2025 04:51 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Tasapainotettu |
| 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% |
9963
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
18591
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
9055
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18211
295.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28730
465.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16745
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
123190
143.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
412485
481.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
114558
134.2 IPS |
|
|
Object Detection (SP)
|
100% |
12716
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
24325
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
10917
882.1 IPS |
|
|
Face Detection (SP)
|
100% |
32927
391.2 IPS |
|
|
Face Detection (HP)
|
100% |
58489
695.0 IPS |
|
|
Face Detection (Q)
|
97% |
28266
337.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
55574
428.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
122927
947.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
44976
359.0 IPS |
|
|
Style Transfer (SP)
|
100% |
172947
222.3 IPS |
|
|
Style Transfer (HP)
|
100% |
627555
806.7 IPS |
|
|
Style Transfer (Q)
|
98% |
149084
192.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34896
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68469
2.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26747
990.4 IPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4631
6.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5742
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6417
110.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2140
40.1 IPS |