| User | tcsenter |
| Upload Date | April 14 2025 08:55 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 DESIGNARE |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 DESIGNARE-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2938
546.3 IPS |
|
|
Image Classification (HP)
|
100% |
3011
560.0 IPS |
|
|
Image Classification (Q)
|
100% |
4915
914.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2967
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5399
87.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7150
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7161
8.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
13664
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2936
232.9 IPS |
|
|
Object Detection (HP)
|
100% |
2923
231.8 IPS |
|
|
Object Detection (Q)
|
87% |
4891
392.3 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (Q)
|
97% |
13048
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7802
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8092
62.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
13714
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19140
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17413
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38364
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7760
287.4 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (Q)
|
91% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3753
64.6 IPS |