| Upload Date | November 26 2025 11:22 AM |
| Views | 7 |
| 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. Z890I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5732
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
727
135.2 IPS |
|
|
Image Classification (Q)
|
99% |
9782
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18074
293.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15394
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8333
9.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
54542
64.0 IPS |
|
|
Object Detection (SP)
|
100% |
5541
439.5 IPS |
|
|
Object Detection (HP)
|
100% |
1202
95.3 IPS |
|
|
Object Detection (Q)
|
86% |
11565
929.4 IPS |
|
|
Face Detection (SP)
|
100% |
16240
193.0 IPS |
|
|
Face Detection (HP)
|
100% |
2681
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
14253
169.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16162
124.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3678
28.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
27587
220.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33339
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20624
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34964
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3136
115.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7665
283.8 IPS |
|
|
Text Classification (SP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4195
84.3 IPS |