| Upload Date | December 13 2025 05:42 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1120
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (Q)
|
100% |
3191
593.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2089
2.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
7920
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
88% |
3522
282.3 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (Q)
|
100% |
7937
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2687
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2765
21.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8463
65.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5760
7.40 IPS |
|
|
Style Transfer (HP)
|
100% |
5833
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
20544
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4331
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2070
35.7 IPS |