| User | Sn0w0nS |
| Upload Date | March 15 2025 04:49 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
881
163.8 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.7 IPS |
|
|
Image Classification (Q)
|
99% |
2362
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2426
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (HP)
|
99% |
1597
1.86 IPS |
|
|
Pose Estimation (Q)
|
97% |
6504
7.61 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.3 IPS |
|
|
Object Detection (HP)
|
99% |
1304
103.7 IPS |
|
|
Object Detection (Q)
|
90% |
2442
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
5980
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2700
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4665
36.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
6290
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6131
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
10003
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15250
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3523
130.5 IPS |
|
|
Text Classification (SP)
|
71% |
825
1.19 KIPS |
|
|
Text Classification (HP)
|
71% |
1059
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
1116
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1149
19.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1154
19.9 IPS |