| User | danm1988 |
| Upload Date | April 01 2025 02:22 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock H510 Pro BTC+ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1856
345.2 IPS |
|
|
Image Classification (HP)
|
100% |
1847
343.6 IPS |
|
|
Image Classification (Q)
|
100% |
6129
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5290
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4842
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5121
5.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
16553
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (Q)
|
88% |
6376
511.1 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (Q)
|
100% |
12232
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4811
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5847
45.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
13592
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9863
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11677
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
50129
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2748
101.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10316
382.1 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2740
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2589
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2594
44.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2535
43.7 IPS |