| User | imholyagnostic |
| Upload Date | September 14 2025 04:46 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83LC |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.1 IPS |
|
|
Image Classification (Q)
|
99% |
5235
976.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
898
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7002
113.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4649
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3465
4.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
17238
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2166
171.8 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
5215
419.1 IPS |
|
|
Face Detection (SP)
|
100% |
6222
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8458
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6046
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2076
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13419
107.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11888
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8828
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20658
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.0 IPS |
|
|
Text Classification (Q)
|
97% |
1329
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2651
53.3 IPS |