| User | 44rtie |
| Upload Date | October 19 2024 09:09 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4039
751.1 IPS |
|
|
Image Classification (HP)
|
100% |
4054
754.0 IPS |
|
|
Image Classification (Q)
|
100% |
9391
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4521
73.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4519
73.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8349
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8689
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8745
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
32398
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
2022
160.4 IPS |
|
|
Object Detection (Q)
|
88% |
8677
695.6 IPS |
|
|
Face Detection (SP)
|
100% |
6274
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
6290
74.7 IPS |
|
|
Face Detection (Q)
|
100% |
14058
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6381
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5895
45.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
24640
191.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25472
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25410
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
86958
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5023
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14728
545.4 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (Q)
|
92% |
4188
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4473
77.1 IPS |