User | ande1109 |
Upload Date | September 04 2024 11:50 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
System Information | |
---|---|
Operating System | Microsoft Windows 10 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% |
1836
341.3 IPS |
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
Image Classification (Q)
|
100% |
5495
1.02 KIPS |
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
Image Segmentation (Q)
|
99% |
4697
76.1 IPS |
|
Pose Estimation (SP)
|
100% |
3652
4.26 IPS |
|
Pose Estimation (HP)
|
100% |
3780
4.41 IPS |
|
Pose Estimation (Q)
|
96% |
14738
17.3 IPS |
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
Object Detection (HP)
|
100% |
1800
142.8 IPS |
|
Object Detection (Q)
|
88% |
5310
425.7 IPS |
|
Face Detection (SP)
|
100% |
5073
60.3 IPS |
|
Face Detection (HP)
|
100% |
5245
62.3 IPS |
|
Face Detection (Q)
|
100% |
12984
154.3 IPS |
|
Depth Estimation (SP)
|
100% |
5002
38.5 IPS |
|
Depth Estimation (HP)
|
100% |
4993
38.5 IPS |
|
Depth Estimation (Q)
|
80% |
13412
106.3 IPS |
|
Style Transfer (SP)
|
100% |
10398
13.4 IPS |
|
Style Transfer (HP)
|
100% |
10581
13.6 IPS |
|
Style Transfer (Q)
|
98% |
37691
48.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
2184
80.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
2262
83.5 IPS |
|
Image Super-Resolution (Q)
|
99% |
7210
267.0 IPS |
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
Text Classification (HP)
|
100% |
2058
2.75 KIPS |
|
Text Classification (Q)
|
92% |
3307
4.44 KIPS |
|
Machine Translation (SP)
|
100% |
2596
44.7 IPS |
|
Machine Translation (HP)
|
100% |
2603
44.8 IPS |
|
Machine Translation (Q)
|
85% |
3731
65.3 IPS |