| User | gethen |
| Upload Date | October 06 2025 09:21 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 Core 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 | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4314
802.2 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (Q)
|
99% |
7905
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15409
250.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12383
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7223
8.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
42862
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4268
338.6 IPS |
|
|
Object Detection (HP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (Q)
|
86% |
9353
751.7 IPS |
|
|
Face Detection (SP)
|
100% |
10800
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
2284
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
9842
117.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12088
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
21140
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27238
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19077
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30582
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3920
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2853
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3720
74.8 IPS |