| Upload Date | December 07 2025 05:12 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9050
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
15313
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
8412
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15473
250.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22486
364.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14240
231.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
123924
144.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
390492
455.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
115320
135.1 IPS |
|
|
Object Detection (SP)
|
100% |
11476
910.3 IPS |
|
|
Object Detection (HP)
|
100% |
18885
1.50 KIPS |
|
|
Object Detection (Q)
|
83% |
9966
805.2 IPS |
|
|
Face Detection (SP)
|
100% |
29220
347.2 IPS |
|
|
Face Detection (HP)
|
100% |
46738
555.4 IPS |
|
|
Face Detection (Q)
|
97% |
25372
302.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54965
423.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112774
868.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
44576
355.8 IPS |
|
|
Style Transfer (SP)
|
100% |
176368
226.7 IPS |
|
|
Style Transfer (HP)
|
100% |
589970
758.4 IPS |
|
|
Style Transfer (Q)
|
98% |
152155
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31886
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59216
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24549
909.0 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2085
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4619
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4807
82.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1926
36.1 IPS |