| User | fsg |
| Upload Date | December 18 2024 11:24 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900 @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 VISION G |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 VISION G |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.7 IPS |
|
|
Image Classification (Q)
|
100% |
8450
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3285
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3321
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7517
121.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7196
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
7171
8.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
28151
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2832
224.6 IPS |
|
|
Object Detection (HP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (Q)
|
88% |
8741
700.7 IPS |
|
|
Face Detection (SP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
20233
240.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8507
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8543
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22425
174.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17989
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17768
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
70537
91.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13358
494.7 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4523
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3736
64.3 IPS |