| User | fenom |
| Upload Date | January 17 2026 12:50 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11700K @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D07 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z590 GAMING EDGE WIFI (MS-7D07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3831
712.4 IPS |
|
|
Image Classification (HP)
|
100% |
3769
701.0 IPS |
|
|
Image Classification (Q)
|
100% |
10526
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9613
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7819
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
7789
9.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
30854
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (HP)
|
100% |
3261
258.6 IPS |
|
|
Object Detection (Q)
|
88% |
11169
895.3 IPS |
|
|
Face Detection (SP)
|
100% |
6291
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
6357
75.5 IPS |
|
|
Face Detection (Q)
|
100% |
26446
314.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9770
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9351
72.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27356
212.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19979
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19087
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
79730
102.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13327
493.5 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
4853
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4796
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4801
82.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5225
90.0 IPS |