| Upload Date | November 14 2025 11:38 AM |
| Views | 2 |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
880
163.6 IPS |
|
|
Image Classification (Q)
|
99% |
9586
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4717
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15644
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8374
9.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
50547
59.3 IPS |
|
|
Object Detection (SP)
|
100% |
5228
414.7 IPS |
|
|
Object Detection (HP)
|
100% |
1109
88.0 IPS |
|
|
Object Detection (Q)
|
86% |
11563
929.3 IPS |
|
|
Face Detection (SP)
|
100% |
15086
179.3 IPS |
|
|
Face Detection (HP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
14358
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16702
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3714
28.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24985
199.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34530
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20820
26.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34089
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7454
276.0 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1969
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4714
94.7 IPS |