| User | drth_nllr |
| Upload Date | November 06 2025 06:37 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NTCTO1WW |
| Motherboard | LENOVO 21NTCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
365.9 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
3504
653.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5950
96.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4152
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2612
3.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
17056
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
5131
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
4818
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
6377
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4471
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1611
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12653
101.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11369
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8508
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
13268
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4661
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
670
894.9 IPS |
|
|
Text Classification (Q)
|
97% |
1298
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2116
42.5 IPS |