| User | CSIridges |
| Upload Date | September 10 2025 05:30 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4123
766.8 IPS |
|
|
Image Classification (HP)
|
100% |
3971
738.4 IPS |
|
|
Image Classification (Q)
|
100% |
9412
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5391
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4931
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10380
168.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7179
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7352
8.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
26518
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
3542
281.0 IPS |
|
|
Object Detection (Q)
|
88% |
9091
728.8 IPS |
|
|
Face Detection (SP)
|
100% |
9195
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
8981
106.7 IPS |
|
|
Face Detection (Q)
|
100% |
20481
243.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8283
63.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
24045
187.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21675
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16814
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72173
93.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4672
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15341
568.1 IPS |
|
|
Text Classification (SP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5658
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4989
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4974
85.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4901
84.4 IPS |