| Upload Date | December 16 2025 09:38 AM |
| Views | 13 |
| 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. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9702
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
17789
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
8821
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16091
260.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23083
374.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14884
242.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
121159
141.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
383964
448.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
111167
130.2 IPS |
|
|
Object Detection (SP)
|
100% |
11416
905.5 IPS |
|
|
Object Detection (HP)
|
100% |
21183
1.68 KIPS |
|
|
Object Detection (Q)
|
83% |
9837
794.8 IPS |
|
|
Face Detection (SP)
|
100% |
28897
343.4 IPS |
|
|
Face Detection (HP)
|
100% |
47014
558.6 IPS |
|
|
Face Detection (Q)
|
97% |
25718
306.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54539
420.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
116817
900.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
44417
354.5 IPS |
|
|
Style Transfer (SP)
|
100% |
171813
220.9 IPS |
|
|
Style Transfer (HP)
|
100% |
602775
774.9 IPS |
|
|
Style Transfer (Q)
|
98% |
150266
193.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35180
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67704
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25882
958.4 IPS |
|
|
Text Classification (SP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5013
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5354
92.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1992
37.4 IPS |