| Upload Date | June 12 2025 07:39 PM | 
| Views | 4 | 
| AI Information | |
|---|---|
| Framework | ONNX | 
| Backend | CPU | 
| Device | Intel Xeon E3-1220 v2 | 
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) | 
| Model | System manufacturer System Product Name | 
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z | 
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1220 v2 | 
| Topology | 1 Processor, 4 Cores | 
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 | 
| Base Frequency | 3.10 GHz | 
| Cluster 1 | 4 Cores | 
| Memory Information | |
|---|---|
| Size | 16.00 GB | 
| Workload | Accuracy | Score | |
|---|---|---|---|
| 
Image Classification (SP)
 | 
100% | 
726
 135.1 IPS  | 
|
| 
Image Classification (HP)
 | 
100% | 
227
 42.3 IPS  | 
|
| 
Image Classification (Q)
 | 
96% | 
656
 122.6 IPS  | 
|
| 
Image Segmentation (SP)
 | 
100% | 
537
 8.71 IPS  | 
|
| 
Image Segmentation (HP)
 | 
100% | 
332
 5.38 IPS  | 
|
| 
Image Segmentation (Q)
 | 
97% | 
522
 8.49 IPS  | 
|
| 
Pose Estimation (SP)
 | 
100% | 
1415
 1.65 IPS  | 
|
| 
Pose Estimation (HP)
 | 
100% | 
1109
 1.29 IPS  | 
|
| 
Pose Estimation (Q)
 | 
86% | 
1307
 1.55 IPS  | 
|
| 
Object Detection (SP)
 | 
100% | 
714
 56.6 IPS  | 
|
| 
Object Detection (HP)
 | 
100% | 
276
 21.9 IPS  | 
|
| 
Object Detection (Q)
 | 
58% | 
471
 51.5 IPS  | 
|
| 
Face Detection (SP)
 | 
100% | 
1783
 21.2 IPS  | 
|
| 
Face Detection (HP)
 | 
100% | 
684
 8.12 IPS  | 
|
| 
Face Detection (Q)
 | 
96% | 
1517
 18.1 IPS  | 
|
| 
Depth Estimation (SP)
 | 
100% | 
1837
 14.2 IPS  | 
|
| 
Depth Estimation (HP)
 | 
99% | 
800
 6.16 IPS  | 
|
| 
Depth Estimation (Q)
 | 
78% | 
1515
 12.1 IPS  | 
|
| 
Style Transfer (SP)
 | 
100% | 
3454
 4.44 IPS  | 
|
| 
Style Transfer (HP)
 | 
100% | 
2813
 3.62 IPS  | 
|
| 
Style Transfer (Q)
 | 
87% | 
3055
 3.98 IPS  | 
|
| 
Image Super-Resolution (SP)
 | 
100% | 
715
 26.4 IPS  | 
|
| 
Image Super-Resolution (HP)
 | 
100% | 
626
 23.1 IPS  | 
|
| 
Image Super-Resolution (Q)
 | 
97% | 
655
 24.3 IPS  | 
|
| 
Text Classification (SP)
 | 
100% | 
561
 748.1 IPS  | 
|
| 
Text Classification (HP)
 | 
100% | 
297
 396.4 IPS  | 
|
| 
Text Classification (Q)
 | 
97% | 
269
 359.8 IPS  | 
|
| 
Machine Translation (SP)
 | 
100% | 
857
 14.8 IPS  | 
|
| 
Machine Translation (HP)
 | 
100% | 
324
 5.58 IPS  | 
|
| 
Machine Translation (Q)
 | 
68% | 
818
 15.8 IPS  |