| User | EDDY_TG |
| Upload Date | August 18 2025 01:15 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AERO G |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11271
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
18772
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10223
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20684
335.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
30016
486.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18826
306.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
170204
198.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
494618
577.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
146189
171.2 IPS |
|
|
Object Detection (SP)
|
100% |
15147
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
24493
1.94 KIPS |
|
|
Object Detection (Q)
|
83% |
12814
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
40111
476.6 IPS |
|
|
Face Detection (HP)
|
100% |
58362
693.5 IPS |
|
|
Face Detection (Q)
|
97% |
34463
410.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
70662
544.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
132772
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55877
446.0 IPS |
|
|
Style Transfer (SP)
|
100% |
235884
303.2 IPS |
|
|
Style Transfer (HP)
|
100% |
783217
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
201652
260.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41220
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75348
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33207
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3904
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4650
6.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2352
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6069
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6100
105.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2898
54.4 IPS |