| User | dmichaels11 |
| Upload Date | June 08 2025 08:04 PM |
| Views | 3 |
| 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 AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS PRO ICE |
| Power Plan | Ultimate Performance |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5204
967.8 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
99% |
9217
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4949
80.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15955
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8089
9.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
47786
56.0 IPS |
|
|
Object Detection (SP)
|
100% |
4773
378.6 IPS |
|
|
Object Detection (HP)
|
100% |
1087
86.2 IPS |
|
|
Object Detection (Q)
|
86% |
11492
923.6 IPS |
|
|
Face Detection (SP)
|
100% |
14484
172.1 IPS |
|
|
Face Detection (HP)
|
100% |
2684
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
14121
168.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15594
120.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3485
26.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
22784
181.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31795
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20013
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37010
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3655
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6990
258.8 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
968
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4900
98.5 IPS |