| Upload Date | October 18 2025 03:52 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. Z790 EAGLE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 EAGLE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9499
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
18263
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
8678
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14565
236.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20511
332.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13406
218.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
111077
129.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
357445
417.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
106043
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
11552
916.3 IPS |
|
|
Object Detection (HP)
|
100% |
20687
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
9718
785.2 IPS |
|
|
Face Detection (SP)
|
100% |
27348
325.0 IPS |
|
|
Face Detection (HP)
|
100% |
43221
513.6 IPS |
|
|
Face Detection (Q)
|
97% |
24044
286.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
53222
410.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112276
865.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
40474
323.1 IPS |
|
|
Style Transfer (SP)
|
100% |
166228
213.7 IPS |
|
|
Style Transfer (HP)
|
100% |
592631
761.8 IPS |
|
|
Style Transfer (Q)
|
98% |
141296
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34613
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65992
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25089
929.0 IPS |
|
|
Text Classification (SP)
|
100% |
4104
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5116
6.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2415
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4473
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1779
33.4 IPS |