| Upload Date | November 09 2025 06:54 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
4964
925.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7272
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4781
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
17335
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
5380
432.4 IPS |
|
|
Face Detection (SP)
|
100% |
6151
73.1 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
7925
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6087
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12458
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11576
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7584
9.75 IPS |
|
|
Style Transfer (Q)
|
98% |
19670
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4728
175.1 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.8 IPS |
|
|
Text Classification (Q)
|
97% |
1352
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2490
50.0 IPS |