| User | enroscado |
| Upload Date | April 29 2025 10:11 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU X5650 @ 2.67GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5650 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.46 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (Q)
|
100% |
833
154.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
1050
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
767
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
1971
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (Q)
|
87% |
863
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1247
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.08 IPS |
|
|
Depth Estimation (Q)
|
81% |
2213
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1827
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1837
2.36 IPS |
|
|
Style Transfer (Q)
|
98% |
5856
7.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
424
565.6 IPS |
|
|
Text Classification (HP)
|
100% |
424
565.6 IPS |
|
|
Text Classification (Q)
|
91% |
366
491.9 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
100% |
487
8.39 IPS |