| User | Cifra45 |
| Upload Date | March 22 2025 09:03 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11600K @ 3.90GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z490 Steel Legend |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.6 IPS |
|
|
Image Classification (Q)
|
100% |
8125
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7179
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5531
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5503
6.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
21524
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (Q)
|
88% |
7807
625.8 IPS |
|
|
Face Detection (SP)
|
100% |
4527
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
17907
212.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6929
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7002
53.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19608
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14201
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14526
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
55138
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3107
114.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11145
412.7 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4446
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3748
64.6 IPS |