| Upload Date | November 20 2025 05:26 PM |
| Views | 5 |
| 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% |
1149
213.6 IPS |
|
|
Image Classification (HP)
|
100% |
1114
207.1 IPS |
|
|
Image Classification (Q)
|
100% |
3327
618.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3600
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2118
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
8103
9.49 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.1 IPS |
|
|
Object Detection (Q)
|
88% |
3417
273.9 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
8371
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2779
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2729
21.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
7965
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5685
7.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5788
7.44 IPS |
|
|
Style Transfer (Q)
|
98% |
20185
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1231
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4064
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2519
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2100
36.2 IPS |