| Upload Date | November 13 2025 08:45 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 ICE |
| 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 | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5254
977.2 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
99% |
8259
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2638
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17842
290.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15103
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7287
8.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
49442
58.0 IPS |
|
|
Object Detection (SP)
|
100% |
5028
398.8 IPS |
|
|
Object Detection (HP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (Q)
|
86% |
11344
911.7 IPS |
|
|
Face Detection (SP)
|
100% |
14864
176.6 IPS |
|
|
Face Detection (HP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
13737
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15672
120.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3536
27.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24790
197.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32703
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19724
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33985
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5596
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3327
122.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7451
275.9 IPS |
|
|
Text Classification (SP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3904
78.4 IPS |