| User | dd88 |
| Upload Date | November 26 2025 07:42 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun MS-Challenger H810ITX WIFI |
| Motherboard | Maxsun MS-Challenger H810ITX WIFI |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4433
824.4 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
99% |
9216
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13178
214.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9841
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
34412
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
4151
329.3 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
86% |
10025
805.7 IPS |
|
|
Face Detection (SP)
|
100% |
11879
141.2 IPS |
|
|
Face Detection (HP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
12488
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11945
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3320
25.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21987
175.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22846
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16303
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30990
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3046
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6756
250.2 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1000
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1721
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4437
89.2 IPS |