| Upload Date | October 21 2025 11:39 AM |
| 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 i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9474
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
17317
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
8706
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14097
228.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19609
317.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12972
210.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
111907
130.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
354687
413.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
107010
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
11183
887.0 IPS |
|
|
Object Detection (HP)
|
100% |
20024
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9686
782.5 IPS |
|
|
Face Detection (SP)
|
100% |
26757
317.9 IPS |
|
|
Face Detection (HP)
|
100% |
41804
496.7 IPS |
|
|
Face Detection (Q)
|
97% |
22882
272.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
49446
381.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109047
840.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
41062
327.7 IPS |
|
|
Style Transfer (SP)
|
100% |
163189
209.8 IPS |
|
|
Style Transfer (HP)
|
100% |
578449
743.6 IPS |
|
|
Style Transfer (Q)
|
98% |
139383
179.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32941
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66152
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24672
913.6 IPS |
|
|
Text Classification (SP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5048
6.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2316
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1798
33.7 IPS |