| User | yosstu1000 |
| Upload Date | January 03 2026 06:19 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A |
| 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% |
3538
657.9 IPS |
|
|
Image Classification (HP)
|
100% |
3475
646.2 IPS |
|
|
Image Classification (Q)
|
100% |
8050
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4384
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4273
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8254
133.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6630
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6698
7.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
24648
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (HP)
|
100% |
3418
271.1 IPS |
|
|
Object Detection (Q)
|
88% |
8504
681.7 IPS |
|
|
Face Detection (SP)
|
100% |
9466
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
9137
108.6 IPS |
|
|
Face Detection (Q)
|
100% |
19118
227.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8727
67.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20876
162.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19871
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19960
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59176
76.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4112
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13039
482.9 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4787
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4851
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4802
82.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4530
78.0 IPS |