| User | raaphor |
| Upload Date | February 05 2025 11:18 AM |
| Views | 17 |
| 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 ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Power Plan | Hoge prestaties |
| 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% |
5760
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
689
128.2 IPS |
|
|
Image Classification (Q)
|
99% |
10066
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5139
83.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17118
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7900
9.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
52178
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
5285
419.2 IPS |
|
|
Object Detection (HP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (Q)
|
86% |
11918
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
14805
175.9 IPS |
|
|
Face Detection (HP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
13991
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18107
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3748
28.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
27958
223.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36448
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21348
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37688
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5946
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7539
279.2 IPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1782
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4612
92.7 IPS |