| User | mytec33 |
| Upload Date | August 17 2024 08:31 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11600K @ 3.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2623
487.7 IPS |
|
|
Image Classification (HP)
|
100% |
2752
511.8 IPS |
|
|
Image Classification (Q)
|
100% |
7736
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2715
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6777
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5841
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5886
6.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
23023
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (HP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (Q)
|
88% |
7967
638.7 IPS |
|
|
Face Detection (SP)
|
100% |
5324
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
5484
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
18380
218.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7224
55.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
19772
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15282
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15368
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59319
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3416
126.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11291
418.1 IPS |
|
|
Text Classification (SP)
|
100% |
2821
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3753
64.6 IPS |
|
|
Machine Translation (Q)
|
85% |
5801
101.5 IPS |