| User | treex |
| Upload Date | September 05 2024 01:56 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600KF |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 GAMING X |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3577
665.2 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.1 IPS |
|
|
Image Classification (Q)
|
100% |
7531
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2046
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3726
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6477
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
5422
6.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
12182
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (HP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (Q)
|
88% |
3711
297.5 IPS |
|
|
Face Detection (SP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
5588
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
9396
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4197
32.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
4283
33.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
10539
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9001
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9399
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30158
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2111
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5814
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
1166
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1255
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
1795
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2771
47.7 IPS |
|
|
Machine Translation (Q)
|
85% |
4624
80.9 IPS |