| Upload Date | September 14 2025 02:12 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z890 AYW GAMING WIFI W |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4596
854.8 IPS |
|
|
Image Classification (HP)
|
100% |
761
141.6 IPS |
|
|
Image Classification (Q)
|
99% |
10067
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4324
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10652
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7432
8.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
36799
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4264
338.2 IPS |
|
|
Object Detection (HP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
10724
861.8 IPS |
|
|
Face Detection (SP)
|
100% |
11053
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
13048
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13104
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3270
25.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20994
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23954
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16899
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27395
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4477
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6352
235.2 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2081
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4862
97.7 IPS |