| Upload Date | November 10 2025 04:52 PM |
| Views | 3 |
| 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% |
10103
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
18941
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
9309
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18487
299.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29029
470.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17004
276.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
126620
147.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
420547
490.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
117086
137.1 IPS |
|
|
Object Detection (SP)
|
100% |
12871
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
24362
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
11097
896.6 IPS |
|
|
Face Detection (SP)
|
100% |
33516
398.2 IPS |
|
|
Face Detection (HP)
|
100% |
59391
705.7 IPS |
|
|
Face Detection (Q)
|
97% |
28958
345.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
56688
436.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
124675
960.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
46109
368.0 IPS |
|
|
Style Transfer (SP)
|
100% |
177949
228.8 IPS |
|
|
Style Transfer (HP)
|
100% |
639409
822.0 IPS |
|
|
Style Transfer (Q)
|
98% |
153268
197.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36011
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71387
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27197
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4544
6.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2323
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5745
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6368
109.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2180
40.9 IPS |