| User | S5K2L2 |
| Upload Date | July 19 2025 03:15 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 228V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21Q6CTO1WW |
| Motherboard | LENOVO 21Q6CTO1WW |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 228V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
99% |
3716
693.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
4735
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3090
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2246
2.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
11737
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
86% |
3546
285.0 IPS |
|
|
Face Detection (SP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
5833
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4722
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1319
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9530
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8960
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
4823
6.20 IPS |
|
|
Style Transfer (Q)
|
98% |
4791
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3418
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.7 IPS |
|
|
Text Classification (Q)
|
97% |
977
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1855
37.3 IPS |