| 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 |