| User | gethen | 
| Upload Date | August 02 2025 01:56 PM | 
| Views | 15 | 
| 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. Z890 AERO G | 
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G | 
| Power Plan | Balanced | 
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K | 
| Topology | 1 Processor, 24 Cores | 
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 | 
| Base Frequency | 3.70 GHz | 
| Cluster 1 | 8 Cores | 
| Cluster 2 | 16 Cores | 
| Memory Information | |
|---|---|
| Size | 96.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
10697
 1.99 KIPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
18790
 3.49 KIPS  | 
|
| 
Image Classification (Q)
 | 
100% | 
9788
 1.82 KIPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
21411
 347.1 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
31285
 507.2 IPS  | 
|
| 
Image Segmentation (Q)
 | 
98% | 
19304
 313.9 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
167452
 195.4 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
473403
 552.4 IPS  | 
|
| 
Pose Estimation (Q)
 | 
96% | 
146107
 171.1 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
14687
 1.17 KIPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
23697
 1.88 KIPS  | 
|
| 
Object Detection (Q)
 | 
83% | 
11975
 967.5 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
39944
 474.6 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
57367
 681.6 IPS  | 
|
| 
Face Detection (Q)
 | 
97% | 
34057
 406.1 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
68199
 525.4 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
129346
 996.5 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
53842
 429.8 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
231420
 297.5 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
762623
 980.4 IPS  | 
|
| 
Style Transfer (Q)
 | 
98% | 
198673
 256.2 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
41156
 1.52 KIPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
75545
 2.79 KIPS  | 
|
| 
Image Super-Resolution (Q)
 | 
99% | 
33008
 1.22 KIPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
3945
 5.27 KIPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
4912
 6.56 KIPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
2304
 3.09 KIPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
6241
 107.5 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
6363
 109.6 IPS  | 
|
| 
Machine Translation (Q)
 | 
70% | 
2927
 54.9 IPS  |