| Upload Date | January 04 2026 10:46 AM |
| 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. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9229
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
16651
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8479
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16494
267.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25273
409.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15125
245.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
110146
128.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
378753
441.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
105433
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
11353
900.6 IPS |
|
|
Object Detection (HP)
|
100% |
20253
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
9633
778.3 IPS |
|
|
Face Detection (SP)
|
100% |
28570
339.5 IPS |
|
|
Face Detection (HP)
|
100% |
46200
549.0 IPS |
|
|
Face Detection (Q)
|
97% |
24682
294.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50449
388.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110941
854.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
39976
319.1 IPS |
|
|
Style Transfer (SP)
|
100% |
165065
212.2 IPS |
|
|
Style Transfer (HP)
|
100% |
577119
741.9 IPS |
|
|
Style Transfer (Q)
|
98% |
142601
183.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32742
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63058
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24554
909.2 IPS |
|
|
Text Classification (SP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2248
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5680
97.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1930
36.2 IPS |