| User | GyBHard |
| Upload Date | January 17 2026 03:10 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 GAMING X DDR4 |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
3310
615.6 IPS |
|
|
Image Classification (HP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (Q)
|
100% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4098
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4266
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7730
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6579
7.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
24089
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3228
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (Q)
|
88% |
8124
651.3 IPS |
|
|
Face Detection (SP)
|
100% |
5208
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
7722
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
18651
221.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8232
63.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
20242
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19361
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19267
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68760
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3981
147.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12920
478.5 IPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4889
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4574
78.8 IPS |