| User | alexb |
| Upload Date | July 09 2025 01:46 PM |
| Views | 8 |
| 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-I GAMING WIFI |
| Power Plan | High 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5093
947.1 IPS |
|
|
Image Classification (HP)
|
100% |
901
167.6 IPS |
|
|
Image Classification (Q)
|
99% |
8823
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18067
293.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15317
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8018
9.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
38097
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (HP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (Q)
|
86% |
11868
953.8 IPS |
|
|
Face Detection (SP)
|
100% |
17176
204.1 IPS |
|
|
Face Detection (HP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
14489
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17276
133.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3669
28.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
26955
215.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37302
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20495
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35282
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3228
119.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7691
284.8 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1092
1.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1516
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3764
75.6 IPS |