| Upload Date | February 07 2026 08:09 AM |
| Views | 2 |
| 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 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE 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% |
9223
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
16919
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8503
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14195
230.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19521
316.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13097
213.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
119959
140.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
375865
438.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
110139
129.0 IPS |
|
|
Object Detection (SP)
|
100% |
11497
912.0 IPS |
|
|
Object Detection (HP)
|
100% |
20613
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
9817
793.2 IPS |
|
|
Face Detection (SP)
|
100% |
26948
320.2 IPS |
|
|
Face Detection (HP)
|
100% |
41370
491.6 IPS |
|
|
Face Detection (Q)
|
97% |
23985
286.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53489
412.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114523
882.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
43300
345.6 IPS |
|
|
Style Transfer (SP)
|
100% |
168719
216.9 IPS |
|
|
Style Transfer (HP)
|
100% |
580500
746.2 IPS |
|
|
Style Transfer (Q)
|
98% |
144965
186.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34306
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65889
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25612
948.4 IPS |
|
|
Text Classification (SP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4939
6.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2366
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4296
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1830
34.3 IPS |