| Upload Date | October 31 2025 10:19 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 230F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B860M AORUS PRO WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B860M AORUS PRO WIFI7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 230F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3810
708.6 IPS |
|
|
Image Classification (HP)
|
100% |
663
123.4 IPS |
|
|
Image Classification (Q)
|
99% |
8176
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11196
182.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8023
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
28284
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
86% |
8838
710.3 IPS |
|
|
Face Detection (SP)
|
100% |
11121
132.1 IPS |
|
|
Face Detection (HP)
|
100% |
2487
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
11170
133.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10021
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3173
24.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19303
154.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18815
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15893
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30102
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2941
108.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6696
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1664
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4278
86.0 IPS |