| Upload Date | November 10 2025 01:48 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890M AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
99% |
4358
812.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6571
106.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4278
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
14056
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
4082
328.0 IPS |
|
|
Face Detection (SP)
|
100% |
5925
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
1109
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
7240
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4485
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1524
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10499
83.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9679
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7687
9.88 IPS |
|
|
Style Transfer (Q)
|
98% |
15248
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3117
115.4 IPS |
|
|
Text Classification (SP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
609
813.2 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2426
48.7 IPS |