| User | bloghtpc |
| Upload Date | January 21 2026 07:55 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO H610 DP10 (MS-B210) |
| Motherboard | Micro-Star International Co., Ltd. MS-B2101 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3154
586.6 IPS |
|
|
Image Classification (HP)
|
100% |
3155
586.7 IPS |
|
|
Image Classification (Q)
|
100% |
7462
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4124
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4129
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7926
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5964
6.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
22240
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3025
239.9 IPS |
|
|
Object Detection (HP)
|
100% |
3078
244.2 IPS |
|
|
Object Detection (Q)
|
88% |
7669
614.8 IPS |
|
|
Face Detection (SP)
|
100% |
8988
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
9175
109.0 IPS |
|
|
Face Detection (Q)
|
100% |
17453
207.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7828
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7898
60.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19652
152.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17657
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18003
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61010
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3637
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3686
136.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12232
453.0 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4153
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4138
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4056
69.9 IPS |