| User | Igniter01 |
| Upload Date | October 05 2025 09:43 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (HP)
|
100% |
3526
655.7 IPS |
|
|
Image Classification (Q)
|
100% |
8941
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3798
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8233
133.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6601
7.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
25692
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
3122
247.7 IPS |
|
|
Object Detection (Q)
|
88% |
8453
677.6 IPS |
|
|
Face Detection (SP)
|
100% |
7368
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
9203
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
16465
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7732
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8230
63.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
21022
163.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20412
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18010
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
68233
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4133
152.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13439
497.7 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (Q)
|
92% |
5350
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2494
43.0 IPS |